MM-BRIGHT: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval
Paper • 2601.09562 • Published
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quantumcomputing/26329_e6eb321e4e9c903b_46.txt | 6.2 Maximum Cut: A Combinatorial Optimization Problem The maximum cut problem is to partition the node set of a graph in two sets such that the number of edges between nodes of the different sets is maximal. In Fig. 17, part 1, a graph with four edges {A,B,C,D} is shown where each node is connected to each other node. ... |
quantumcomputing/1ddfc398_123918.txt | Use cases: The CY gate is a less commonly used gate in circuits (since any controlled unitary can be decomposed to CNOT and single-qubit operations). However, it is conceptually important as an example of a controlled-Pauli operation beyond CNOT (CX) and CZ. In quantum algorithms or error correction, controlled- Y o... |
quantumcomputing/32894_c65187f488c01dde_716.txt | Sharpness-Aware Minimization (SAM) is a highly effective regularization technique for improving the generalization of deep neural networks for various settings. However, the underlying working of SAM remains elusive because of various intriguing approximations in the theoretical characterizations. SAM intends to penali... |
quantumcomputing/3eeaad5a_120158.txt | Scientists Aharonov Bell Bethe Blackett Bloch Bohm Bohr Born Bose de Broglie Compton Dirac Davisson Debye Ehrenfest Einstein Everett Fock Fermi Feynman Glauber Gutzwiller Heisenberg Hilbert Jordan Kramers Lamb Landau Laue Moseley Millikan Onnes Pauli Planck Rabi Raman Rydberg Schrödinger Simmons Sommerfeld von Neumann ... |
quantumcomputing/22087_db9c0f2f4b6f960d_1696.txt | Quantum modification of general relativity (Qmoger) is supported by cosmic data (without fitting). Qmoger equations consist of Einstein equations with two additional terms responsible for production/absorption of matter. In Qmoger cosmology there was no Big Bang and matter is continuously producing by the Vacuum. Parti... |
quantumcomputing/2299_7f03a294c25d9406_1.txt | Over the last thirty or so years, there has been a huge amount of research being done in the field of quantum computers. In the last few years, a short survey by the authors records that the ArXiv on average receives around a dozen quantum computing-related submissions each day. What underpins all this interest is the ... |
quantumcomputing/8729_23e9aeec4fe3bb40_594.txt | In physics, an effective field theory is a type of approximation, or effective theory, for an underlying physical theory, such as a quantum field theory or a statistical mechanics model. An effective field theory includes the appropriate degrees of freedom to describe physical phenomena occurring at a chosen length sca... |
quantumcomputing/22108_db9c0f2f4b6f960d_2247.txt | Presence of a charged wall distributes like charges (co-ions) and unlike charges (counter-ions) differently within an electrolytic solution. It is reasonable to expect that counter-ions have more population near the wall, while co-ions are abundant away from it; experiments and simulations support this. An analytical f... |
quantumcomputing/13334_db9c0f2f4b6f960d_1196.txt | This paper supports those who have proposed that a Michelson-Morley type experiment (MMX) be performed in outer space. It predicts results that will falsify the foundational postulates of Einstein's relativity and it explains why these these unexpected results are predicted. The prediction is that a Michelson-Morley ty... |
quantumcomputing/da9bf90c_114511.txt | The representation is always unique, because, even though the value of ϕ displaystyle phi is not unique when ψ displaystyle psi rangle is one of the states (see Bra-ket notation ) 0 displaystyle 0 rangle or 1 displaystyle 1 rangle , the point represented by θ displaystyle theta an... |
quantumcomputing/2565_1902f72523e6b3c3_155.txt | It is important that for Hilbert spaces of low dimension, the converse also holds. This is the content of a theorem which we shall not prove ( [HHH 96], [HHH 01]). It specifies the PPT criterion or positive partial transpose criterion for entanglement: A state ρAB in H2A ⊗ H2A or H2A ⊗ H3A is separable if and only if (... |
quantumcomputing/20952_140b3b7976015c5d_11.txt | The field of quantum computing was born in the 80s. Some scientists, among them Richard P. Feynman, soon realized that simulating quantum systems using classical digital computers was a hard task, a problem that would require exponentially more resources and computation power to simulate just slightly larger quantum sy... |
quantumcomputing/3960_6c2be0a104c001a2_40.txt | I don’t consider myself woke, or a social justice warrior, and I had never heard of Critical Justice Theory until I began reading your stuff. But I’m becoming increasingly convinced that your narrative is just the polar opposite of those you criticize, and for the sole purpose of being polar opposite. If one were to re... |
quantumcomputing/25925_723fd0fbfe5d7a11_127.txt | Central to near-term quantum machine learning is the use of hybrid quantum-classical algorithms. This paper develops a formal framework for describing these algorithms in terms of string diagrams: a key step towards integrating these hybrid algorithms into existing work using string diagrams for machine learning and di... |
quantumcomputing/17418_5a10099f90339dde_74.txt | The solution to the Bernstein-Vazirani problem is to start with the input register in the state |0} w and the output register in the state 11) i and apply Hadamard transforms to all n + 1 registers before applying U y. Another n + 1 Hadamards are applied after U f has acted. The cNOT gates reproduce the action of U f ,... |
quantumcomputing/9ebfea0f_121624.txt | In QCSD you say (slightly reordering phrases for clarity) There are exactly N 2 independent real parameters in an N-dimensional mixed state provided we assume, for convenience, that the state doesn t have to be normalized. Intuitively, it seems like the number of parameters needed to describe a composite system ... |
quantumcomputing/27984_723fd0fbfe5d7a11_284.txt | We investigate quantum circuits for graph representation learning, and propose equivariant quantum graph circuits (EQGCs), as a class of parameterized quantum circuits with strong relational inductive bias for learning over graph-structured data. Conceptually, EQGCs serve as a unifying framework for quantum graph repre... |
quantumcomputing/22087_db9c0f2f4b6f960d_709.txt | Given “ab = 0”, considering the arithmetic truth “0.0 = 0” we conclude that one possibility is “both a = 0 and b = 0”. Consequently, the roots of a quadratic equation are mutually inclusive. Therefore, the concerned variable can acquire multiple identities in the same process of reasoning or, at the same time. The law ... |
quantumcomputing/1629_62d962bdf1d2852a_48.txt | taken place. Thus, localizing a new car comes at the cost of losing sight of any previously localized car. In effect, the rules of the game preclude that at any given moment the candidate learns the locations of more than one car. In view of these rules, opening all three doors in a row or column, which can be done in ... |
quantumcomputing/5147_2ed2d1df17fe28a3_330.txt | As someone who simultaneously believes (1) and (2), I don’t think these are opposing extremes. I think these are different ways of expressing a typical physicist objection to this kind of question. The goal of physics is to explain the world we are in. Therefore, empirical facts are necessary. Counterfactuals about hyp... |
quantumcomputing/22087_e1ef1f358f6bc321_188.txt | The Hodge tau-function is a generating function for the linear Hodge integrals. It is also a tau-function of the KP hierarchy. In this paper, we first present the Virasoro constraints for the Hodge tau-function in the explicit form of the Virasoro equations. The expression of our Virasoro constraints is simply a linear... |
quantumcomputing/40c77a05_115691.txt | Mathematically, we could extract this statevector by applying the projector operator ( Pi_0 ) on subsystem (A ) (to select ( 0 rangle_A )), and an identity operator on subsystem (B ) (to leave that portion of the total state unchanged). So, the operator acting on the whole system is: |
quantumcomputing/9769_b393da4e2e72ed8a_148.txt | Shoring up your knowledge Understanding Shor’s algorithm can be difficult because examples with manageable-size numbers are hard to find. For instance, a minimal circuit that factors 15 with 11 as its coprime may involve five qubits. Wielding five qubits at once means multiplying 32 × 32 matrices by one another. Each m... |
quantumcomputing/17894_c1915a43868ac94e_33.txt | For efficient and scalable network development, a protocol stack is indispensable, as it offers a structured framework enabling the independent development of each layer. Numerous research groups have put forth proposals for a quantum internet protocol stack, similar to the classical internet’s Open Systems Interconnec... |
quantumcomputing/b658e3a2_122478.txt | Daniel Plaumann, Rainer Sinn, and Jannik Lennart Wesner. Families of faces and the normal cycle of a convex semi-algebraic set''. Beitr. Algebra Geom. (2022). arXiv:2104.13306. https: doi.org 10.1007 s13366-022-00657-9 arXiv:2104.13306 |
quantumcomputing/32894_e26caa74eb27f4da_38.txt | Despite the impressive text-to-image (T2I) synthesis capabilities of diffusion models, they often struggle to understand compositional relationships between objects and attributes, especially in complex settings. Existing approaches through building compositional architectures or generating difficult negative captions ... |
quantumcomputing/a71b839c_11828.txt | C.M. and L.M. interpreted the results and supervised the project. S.R. and E.T. conceived and designed the algorithms. E.T. carried out the theoretical analysis and the numerical simulations. All authors contributed to the manuscript draft. |
quantumcomputing/a312d5ec_5627.txt | In this article, we present a more comprehensive picture of QRL for 6G networks. More specifically, we first discuss the application challenges of DRL in 6G. Then, since these challenges cannot be solved in current communications systems due to their limitations, we discuss QRL and present current applications of QRL i... |
quantumcomputing/2615a869_118852.txt | Imagine a coin that is magically both heads and tails at once while it's spinning unseen. The coin's state is like a quantum superposition of two outcomes. When you slap it on the table and peek, you always see a definite face - heads or tails. It's as if the act of peeking made nature choose. In quantum terms, your ... |
quantumcomputing/16776_055815b7f4a0ab7e_36.txt | A computationally demanding physical simulation often presents a significant impediment to scientific and technological progress. Fortunately, recent advancements in machine learning (ML) and artificial intelligence have given rise to data-driven methods that can expedite these simulations. For instance, a well-trained... |
quantumcomputing/2276_282b6c90c8d3b162_4.txt | As previously noted, state vector simulators keep track of the exact representation of the quantum state at every point during the simulation. That comes at great computational cost, as the required memory scales exponentially with the number of qubits. It turns out, however, you don’t actually always need the full sta... |
quantumcomputing/13334_db9c0f2f4b6f960d_1040.txt | The {\bf Daon theory} is a new general theory of physics, it is a completely new way to approach physics and includes, in principle, all phenomena of nature. The theory is presented in a series of ly related papers treating Electromagnetism, Atomic physics, Relativity, Particle physics, Gravitation and Cosmology. The n... |
quantumcomputing/22108_db9c0f2f4b6f960d_2414.txt | Liquid metallic hydrogen provides a compelling material for constructing a condensed matter model of the Sun and the photosphere. Like diamond, metallic hydrogen might have the potential to be a metastable substance requiring high pressures for formation. Once created, it would remain stable even at lower pressures. Th... |
quantumcomputing/34793_e272bdff51b1eb10_456.txt | We present Hybrid-Autoregressive INference TrANsducers (HAINAN), a novel architecture for speech recognition that extends the Token-and-Duration Transducer (TDT) model. Trained with randomly masked predictor network outputs, HAINAN supports both autoregressive inference with all network components and non-autoregressiv... |
quantumcomputing/4625_ebeb95a89c78f21f_89.txt | 10.3 Deutsch-Jozsa Algorithm This algorithm is quite interesting and important in quantum computing. Obviously, it is a modification of the Deutsch algorithm. The issue is actually rather straightforward. The Deutsch algorithm looks at the functions of one variable, whereas the Deutsch-Jozsa algorithm generalizes this... |
quantumcomputing/16776_895a10efa5917d6e_31.txt | Sample-based quantum diagonalization (SQD) is an algorithm for hybrid quantum-classical molecular simulation that has been of broad interest for application with noisy intermediate scale quantum (NISQ) devices. However, SQD does not always converge on a practical timescale. Here, we explore scaling of the algorithm for... |
quantumcomputing/10115_59c45b8c77a80942_315.txt | “We have left the development of digital tools and systems to commercial interests. This has given rise to surveillance capitalism, thinking and acting as a gadget, being alone together as we focus more on our phones than each other, sadness among young girls as they look into the distorting mirror of social media – am... |
quantumcomputing/0868b581_126878.txt | Exactly like the video, using a .20 mm tip and setting your solder iron to 700F, start on the outside end of each pad trough and move the tip toward the pin until the iron touches the pin. You should see the solder melt and flow toward the IC pin. Repeat 99 more times! |
quantumcomputing/32894_72cabeb6d560b66c_677.txt | Thanks to the amazing semiconductor scaling, incredible design complexity makes the synthesis-centric very large-scale integration (VLSI) design flow increasingly rely on electronic design automation (EDA) tools. However, invoking EDA tools especially the physical synthesis tool may require several hours or even days f... |
quantumcomputing/1d765cf5_121405.txt | H 1 2 ( 1 1 1 1 ) and R k ( 1 0 0 e i 2 π 2 k ) displaystyle H frac 1 sqrt 2 begin pmatrix 1 1 1 -1 end pmatrix qquad text and qquad R_ k begin pmatrix 1 0 0 e i2 pi 2 k end pmatrix |
quantumcomputing/34011_a5801def072ec91c_407.txt | Third, the five string theories have a surprising feature. They have been shown to be empirically equivalent in a remarkable way, casting doubt on the very existence of the spacetime in relation to which they are defined. They are not merely empirically equivalent but also physically equivalent in a stronger sense. The... |
quantumcomputing/b4336f1e_6886.txt | Neural decoding and its applications to brain computer interfaces (BCI) are essential for understanding the association between neural activity and behavior. A prerequisite for many decoding approaches is spike sorting, the assignment of action potentials (spikes) to individual neurons. Current spike sorting algorithms... |
quantumcomputing/16776_5e68663f418490bf_332.txt | Liquid democracy with ranked delegations is a novel voting scheme that unites the practicability of representative democracy with the idealistic appeal of direct democracy: Every voter decides between casting their vote on a question at hand or delegating their voting weight to some other, trusted agent. Delegations ar... |
quantumcomputing/22087_db9c0f2f4b6f960d_530.txt | The antigravity force is the corresponding buoyancy force, according to the physicallaw of buoyancy (Archimedes’ principle), but for the dynamic space. As a Universal antigravity force, it causes centrifugal accelerated motion of the galaxies with radial direction to the periphery of the Universe and as a nuclear antig... |
quantumcomputing/4625_eafc45ea35d2f7ae_16.txt | In this section we simulate the influence of a model environment on the fidelity of idealized D–J excitonic circuits. We compare overall fidelity loss between idealized serial and combined circuits. We assume that serial circuits lose no fidelity between steps. Because fidelity losses due to dissipation are expected to... |
quantumcomputing/9904_340504b9f389f966_117.txt | Among the most important issues of Renormalization Group (RG) theory are crossover events and relevant (or non-relevant) interactions. These terms are unknown to atomistic theories but they will be decisive for future field theories of magnetism. In this experimental study the importance of these terms for the critical... |
quantumcomputing/6186_224976a547f6decb_20.txt | In regard to the various theoretical mechanisms for coupling defect center–based spin qubits to other qubit platforms, potential interface coupling mechanisms such as superconducting qubits, other defect centers, and photons were discussed Wang and colleagues (2021) and are graphically illustrated in Figure 4-7. For th... |
quantumcomputing/14994_bb89c4acbf2bb616_455.txt | “auxiliary” components are added to ensure mutual orthogonality of the state vectors. That is, in order to obtain an orthonormal basis one could, for instance, employ dimensional lifting, and thereby enlarge the Hilbert space. This results in an orthonormal (after normalization) basis of the aforementioned Hilbert spac... |
quantumcomputing/44116_58b87e4807ca5e69_153.txt | grandfather). He could hardly have been able to buy one of his own. He spent a considerable part of the next year typing. Only five corrections per page were allowed and the paper was 100 pages long. He missed lectures in school, particularly, he says, in complex analysis. He was invited to give a talk at the 1966 Inte... |
quantumcomputing/9904_889bcb3d28cecf3a_88.txt | Deterministic quantum computation with one pure qubit (DQC1) is an efficient model of computation that uses highly mixed states. Unlike pure-state models, its power is not derived from the generation of a large amount of entanglement. Instead it has been proposed that other nonclassical correlations are responsible for... |
quantumcomputing/3960_1525ece966560489_164.txt | The Biden-Harris administration’s approach to trade has been to democratize economic opportunity. We are breaking out of the technocrats’ bubble to meet working people where they are, redesigning the incentive structure so that communities are not pitted against each other. For example, for a long time, workers in Ohio... |
quantumcomputing/3fcda571_6702.txt | Today, the AI field is all about assumptions about closed environments, such as the iid. and distribution constancy assumptions for data. In reality, it is an open dynamic environment and there may be changes. The learning environment of the neural network is a necessary condition for the learning process. The open env... |
quantumcomputing/22108_db9c0f2f4b6f960d_1100.txt | Prime Quintuplet and Twin Primes have exactly the same dynamics. All Prime Quintuplet are executed in hexagonal circulation. It does not change in a huge number (forever huge number). In the hexagon, Prime Quintuplet are generated only at (6n -1)(6n+5). [n is a positive integer] When the number grows to the limit, the ... |
quantumcomputing/1461d2f7_13865.txt | Reproduced by https://pennylane.ai/qml/whatisqml.html |
quantumcomputing/34011_a5801def072ec91c_734.txt | Cognitive scientists and biochemists are naturally interested in learning more about the bodily mechanisms, including the mental mechanisms that allow people to detect time and also to detect time’s arrow. However, say the critics, they should attend more to the difference between the two. We see sand fall in the hourg... |
quantumcomputing/1226_124ea275a2c7a74f_44.txt | We review linear e+e− colliders with a special focus on high centre-of-mass energies and beam polarisation, take a fresh look at the various accelerator technologies available or under development and, for the first time, discuss how a facility first equipped with a technology mature today could be upgraded with techno... |
quantumcomputing/33692_723fd0fbfe5d7a11_355.txt | ``` @article{carette2022largescale, author = {Carette, Titouan and Lemonnier, Louis}, title = {{Large-scale quantum diagrammatic reasoning tools, !-boxes vs. scalable notations}}, year = {2022}, journal = {arXiv preprint arXiv:2204.11702}, urldate = {2022-04-25}, link = {http://arxiv.org/abs/2204.11702}, keywords = {Sc... |
quantumcomputing/9339_a38937c5090409ef_204.txt | The resolution to the Maxwell’s demon paradox lies in the fact that the demon must perform measurements on the molecules moving between the partitions, in order to determine their velocities. The result of this measurement must be stored in the demon’s memory. Because any memory is finite, the demon must eventually begi... |
quantumcomputing/9339_a38937c5090409ef_641.txt | both of which are also remarkable inequalities, for similar reasons. Note, however, that the inequality 0 ≤ S(A|C) + S(B|C), which one might hope to be true based upon (11.114), is not, as can be seen by choosing ABC to be a product of a pure state for A with an EPR state for BC. Exercise 11.26: Prove that S(A : B) + S... |
quantumcomputing/27984_723fd0fbfe5d7a11_229.txt | ``` @article{koch2023speedy, author = {Koch, Mark and Yeung, Richie and Wang, Quanlong}, title = {{Contraction of ZX diagrams with triangles via stabiliser decompositions}}, year = {2024}, journal = {Physica Scripta}, doi = {10.1088/1402-4896/ad6fd8}, urldate = {2023-07-04}, link = {http://arxiv.org/abs/2307.01803}, ke... |
quantumcomputing/22087_db9c0f2f4b6f960d_2212.txt | Space speed fluctuations, which have a 1/f spectrum, are shown to be the cause of solar flares. The direction and magnitude of the space flow has been detected from numerous different experimental techniques, and is to the normal to the plane of the ecliptic. Zener diode data shows that the fluctuations in the space s... |
quantumcomputing/37257015_120163.txt | Hence, following Albert Einstein, Boris Podolsky, and Nathan Rosen in their famous 1935 EPR paper , there is something missing in the description of the qubit pair given above namely this agreement , called more formally a hidden variable. In his famous paper of 1964, John S. Bell showed by simple probability theor... |
quantumcomputing/4693_afb95353be58d856_97.txt | We generalize Farhi et al.'s 0.6924-approximation result technique of the Max-Cut Quantum Approximate Optimization Algorithm (QAOA) on 3-regular graphs to obtain provable lower bounds on the approximation ratio for warm-started QAOA. Given an initialization angle theta, we consider warm-starts where the initial state i... |
quantumcomputing/0d49d6c2_125007.txt | qubits: 4 2q-depth: 94 2q-size: 96 Operator counts: OrderedDict( 'cx': 45, 'swap': 32, 'u': 24, 'u1': 7, 'u3': 4, 'unitary': 3, 'circuit-335': 1, 'circuit-338': 1, 'circuit-341': 1, 'circuit-344': 1, 'circuit-347': 1, 'circuit-350': 1, 'circuit-353': 1, 'circuit-356': 1, 'circuit-359': 1, 'circuit-362': 1, 'circuit-365... |
quantumcomputing/175_40094682244c3a83_1252.txt | Recent theoretical work studies sample-efficient reinforcement learning (RL) extensively in two settings: learning interactively in the environment (online RL), or learning from an offline dataset (offline RL). However, existing algorithms and theories for learning near-optimal policies in these two settings are rather... |
quantumcomputing/10115_f987ec9455323c9d_203.txt | > ### The first release of UCM Desktop is here! > > Overall this release aims to have parity with Unison Local (which this will eventually replace) and its basically there with a few extra features. Here's a short breakdown of the current feature set: > > + **Browse project codebases**: open definitions, clickable code... |
quantumcomputing/886ce2a4_123458.txt | Up to scalars, the phase-free ZX-calculus, generated by 0 displaystyle 0 -labelled spiders is equivalent to the dagger compact closed category of linear relations over the finite field F 2 displaystyle mathbb F _ 2 . In other words, given a diagram with n displaystyle n inputs and m displaystyle m outpu... |
quantumcomputing/9339_a38937c5090409ef_106.txt | This equation being satisfied for all |ψ is equivalent to the completeness equation. However, the completeness equation is much easier to directly, so that’s why it appears in the statement of the postulate. A simple but important example of a measurement is the measurement of a qubit in the computational basis. This ... |
quantumcomputing/1629_3abeac199875c936_394.txt | The Entanglement Swapping Experiment The question can be specifically reformulated as follows: is it possible for quanta that, in a controlled context, have never directly interacted before to get entangled? In fact, if we are able to entangle systems without direct interaction, we shall have found experimental evidenc... |
quantumcomputing/3c6b4b26_123911.txt | Use cases: The SWAP gate doesn t create entanglement by itself (it just permutes qubits). But it s vital in quantum computing when you need to move qubit states around. Real hardware often has a limited connectivity graph SWAP gates are used to route qubits, effectively exchanging quantum data between two wire lines.... |
quantumcomputing/8652_beca850a8e44abec_39.txt | **Title:** Minimal Quantum Circuits for Simulating Fibonacci Anyons **Abstract:** The Fibonacci topological order is the prime candidate for the realization of universal topological quantum computation. Here we devise minimal quantum circuits to demonstrate the non-Abelian nature of the doubled Fibonacci topological or... |
quantumcomputing/38735_191a07377e1b70f3_142.txt | The non-Abelian model introduced in Section III is similar to three copies of the toric code defined on three superimposed triangular lattices shown in Fig. 20 with the difference that the states do not form an equal-weight superposition (here, by weight we mean the coefficient in front of the state). Instead, due to t... |
quantumcomputing/fef137d4_116703.txt | To formalize a definition of expressibility, let s take examine Eq. 4. When we take the partial derivative of a particular unitary in a PQC described as Eq. 2 we leave a left and right sequence of unitaries such that U (θ) UL (θ) UR (θ)𝑈𝜃subscript𝑈𝐿𝜃subscript𝑈𝑅𝜃U( theta) U_ L ( theta)U_ R ( theta)italic_U ( ita... |
quantumcomputing/f629be1b_123100.txt | 71 Mostafizur Rahaman Laskar, Subhadeep Mondal, and Amit Kumar Dutta, A Low-Complexity Quantum Simulation Framework for Toeplitz-Structured Matrix and Its Application in Signal Processing , IEEE Transactions on Quantum Engineering 4, 1 (2023) . |
quantumcomputing/a0f8463d_1874.txt | We realize a universal CZ = diag(1, 1, 1, −1) gate by adiabatically pulsing the exchange interaction using a carefully designed pulse shape. Starting from equation (2), the full dynamics can be projected on the odd-parity space spanned by |01⟩ and |10⟩. The entangling exchange gate is reduced in this subspace to a glob... |
quantumcomputing/1cd86ad7_1018.txt | A thorough application of hybrid SVMs enhanced with quantum kernels is proposed in Ref. , where the authors approach the task of cloud detection in satellite imagery data, specifically analyzing a large-scale dataset of practical relevance composed of multispectral images from the Landsat-8 satellite. The binary classi... |
quantumcomputing/8337_01340d24a5dea1fa_234.txt | * Presenter: Mark Kushner, University of Michigan * Host: John Cary * Abstract: The field of low temperature plasmas (LTPs) has provided enabling sciences and technologies that are arguably responsible for huge swaths of our industrial and high technology infrastructure. The information technology revolution has been ... |
quantumcomputing/3815_431a1652e9912a6f_39.txt | A common analysis target here is entanglement, tracking which qubits are entangled. Due to the exponential memory needed for precise state tracking, the *stabilizer* formalism (Aaronson and Gottesman, 2004) is often used. This formalism represents the quantum state |ψ⟩ket𝜓\left|\psi\right\rangle| italic\_ψ ⟩ using Pau... |
quantumcomputing/37355_e4427061f6aeb8f8_362.txt | and {|ai} is the basis in which ρ is diagonal. Since Dya = |hy|ai|2 is a doubly stochastic matrix, q ≺ λ(ρ) and therefore H(Y ) ≥ H(ρ), where equality holds only if the measurement is in the basis {|ai}. Mathematically, the conclusion is that for a nondiagonal and nonnegative Hermitian matrix, the diagonal elements are... |
quantumcomputing/22087_db9c0f2f4b6f960d_2609.txt | The proposed model is based on Wheeler’s geometrodynamics of fluctuating topology and its further elaboration based on new macro-analogies. Micro-particles are considered here as particular oscillating deformations or turbulent structures in non-unitaty coherent two-dimensional surfaces. The model uses analogies of the... |
quantumcomputing/9904_7ae05d4adf606362_259.txt | Morphisms in this groupoid are even isomorphisms of Fr´echet spaces, compatible with the extra structure given by µ, . Proof. We start with a real EFT (E, rE ) and first collect the data given by E as in Corollary 6.46: These are V = E(sp), a complex Fr´echet space graded by α = E(fl) with pairing µ0 = E(L0 ) and semigr... |
quantumcomputing/32894_72cabeb6d560b66c_108.txt | The end of Dennard scaling has created a focus on advancing domain-specific computing; we are seeing a renaissance of accelerating compute problems through specialization, with orders-of-magnitude improvement in performance and energy efficiency [1]. Domain-specific compute, with its wide proliferation of domains and n... |
quantumcomputing/14994_cba8c028ccf9b6c3_95.txt | 6.7 Quantum Computation in Microtubules – The Orch OR Model 6.7.1 Specifics of Orch OR In a proposal for the mechanism of consciousness, Roger Penrose and I suggested that microtubule (MT) quantum computations in neurons are orchestrated by synaptic inputs and MT-associated proteins (MAPs), and terminate (e. g. after 25... |
quantumcomputing/14816_5f2deb247b7d4485_36.txt | making an argument in favor of the finite speed of light. His reasoning was bolstered by careful mathematical analysis comparing the motion of the Galilean moons with the motion of the Earth, constrained by nearly eight years of careful measurements. In this way, Rømer measured something that was supposedly too fast to... |
quantumcomputing/20712_178754fff311c8b6_264.txt | This happened in the case of my friend, Bill Ballhaus. When he was head of Beckman Instruments, it produced some complicated product where, if it failed, it caused enormous damage to the purchaser. It wasn’t a pump at the bottom of an oil well, but that’s a good mental example. And he realized that the reason this thin... |
quantumcomputing/13334_db9c0f2f4b6f960d_2341.txt | Storage of water within a drainage basin is often estimated indirectly by analyzing the recession flow curves as it cannot be directly estimated with the aid of available technologies. However, two major problems with recession analysis are: i) late recession flows, particularly for large basins, are usually not observ... |
quantumcomputing/32894_c65187f488c01dde_568.txt | We consider two biologically plausible structures, the Spiking Neural Network (SNN) and the self-attention mechanism. The former offers an energy-efficient and event-driven paradigm for deep learning, while the latter has the ability to capture feature dependencies, enabling Transformer to achieve good performance. It ... |
quantumcomputing/16776_e26caa74eb27f4da_358.txt | We empirically investigate the camera bias of person re-identification (ReID) models. Previously, camera-aware methods have been proposed to address this issue, but they are largely confined to training domains of the models. We measure the camera bias of ReID models on unseen domains and reveal that camera bias become... |
quantumcomputing/3050fdf1_126748.txt | The possible quantum states for a single qubit can be visualised using a Bloch sphere (see picture). Represented on such a 2-sphere , a classical bit could only be at the North Pole or the South Pole , in the locations where 0 displaystyle 0 rangle and 1 displaystyle 1 rangle are respectively. ... |
quantumcomputing/34011_97a166cde10c3127_5.txt | **Publisher** **Description:** This book presents the principle ideas of combining different analytical techniques in multi-dimensional analysis schemes. It reviews the basic principles and instrumentation of multi-dimensional chromatography and the hyphenation of liquid chromatography with selective spectroscopic dete... |
quantumcomputing/4b2692de_118349.txt | As quantum computers continue to advance in power, traditional encryption techniques will become vulnerable to attacks. To address this challenge, researchers are working on developing quantum-resistant cryptography algorithms that can withstand the computational power of quantum computers. |
quantumcomputing/1226_4503ad1eb65e514b_228.txt | *3.19.2.2 SpinQuest/DarkQuest* SpinQuest/DarkQuest is a proton fixed-target beam-dump spectrometer experiment on the neutrino-muon beamline of the Fermilab accelerator complex, where it would receive a high-intensity beam of 120 GeV protons from the main injector. It takes advantage of the long history of investment in... |
quantumcomputing/4628_98bc330e6ca89479_321.txt | One of the most significant results in quantum computational complexity is that BQP C PSPACE. It is clear that BPP C BQP, where BPP is the classical complexity class of decision problems which can be solved with bounded probability of error using poly¬ nomial time on a classical Turing machine. Thus we have the chain o... |
quantumcomputing/29980_381d5d6dcc25ca8d_20.txt | 2) One technical point regarding the move from fidelity estimates to computational advantage is the need to take into consideration the algorithm by Gao et al. in the paper Limitations of Linear Cross-Entropy as a Measure for Quantum Advantage (and also a subsequent paper by aharonov et al. A polynomial-time classical ... |
quantumcomputing/1226_0a8affcd6fcd60e1_92.txt | Let the Universe decide what the ultimate value of this knowledge is to "itself", we are here doing our duty in the service of *all* (and I don't necessarily mean "*all humans*"). I guess I am not seeing the point you are trying to make here. Science is a methodology that is not specifically geared to provide Human Phi... |
quantumcomputing/2565_01bbb6e319e5fd22_48.txt | // Variable to store the number of measured ones mutable num\_ones = 0; // Get a qubit to use using (qubit = Qubit()) { // Loop over the desired number of repetitions for (test in 1..repetitions) { // Get a qubit in the zero state Set(Zero, qubit); // Perform a NOT operation X(qubit); // Measure the qubit let res = M (... |
quantumcomputing/b079ceeb_11681.txt | New transforms called match_relative_phase_toffoli() and match_controlled_iX_gate() have been added, which compile certain patterns to efficient Clifford + T equivalents. (#7748) @qml.qnode(qml.device("default.qubit", wires=4)) def circuit(): qml.CCZ(wires=[0, 1, 3]) qml.ctrl(qml.S(wires=), control=) qml.ctrl(qml.S(wir... |
quantumcomputing/9684_67376b44df69bab4_106.txt | * `qchem.molecular_hamiltonian()`, `qchem.qubit_observable()`, `qchem.import_operator()`, and `qchem.dipole_moment()` now return an arithmetic operator if `enable_new_opmath()` is active. (#4138) (#4159) (#4189) (#4204) * Non-cubic lattice support for all electron resource estimation has been added. (3956) * The `qchem... |
quantumcomputing/32894_1a8f0330de3b41ea_461.txt | Heterophilic graph neural networks (GNNs) have gained prominence for their ability to learn effective representations in graphs with diverse, attribute-aware relationships. While existing methods leverage attribute inference during message passing to improve performance, they often struggle with challenging heterophili... |
quantumcomputing/2276_16a55bc42dde3474_14.txt | In conclusion, I think the lesson to learn here is basically ‘oh, it didn’t need to be intelligent to do these amazing things. But there are lots and lots of amazing things that you don’t need to be intelligent to do, and this is surprising, but it seems true. So we should expect this trend to continue; more and more r... |
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MM-BRIGHT text-and-image queries retrieving reasoning-intensive technical passages in the Quantum Computing domain.
| Task category | Any2AnyRetrieval (image+text-to-text) |
| Domains | Academic, Web, Medical, Legal, Religious |
| Reference | {MM-BRIGHT |
Source datasets:
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_task("MMBrightQuantumComputingIT2TRetrieval")
model = mteb.get_model(YOUR_MODEL)
mteb.evaluate(model, task)
To learn more about how to run models on mteb task check out the GitHub repository.
Citation
If you use this dataset, please cite the dataset as well as mteb, as this dataset likely includes additional processing as a part of the MMTEB Contribution.
@article{abdallah2026mmbright,
archiveprefix = {arXiv},
author = {Abdelrahman Abdallah and Mohamed Darwish Mounis and Mahmoud Abdalla and Mahmoud SalahEldin Kasem and Mostafa Farouk Senussi and Mohamed Mahmoud and Mohammed Ali and Adam Jatowt and Hyun-Soo Kang},
eprint = {2601.09562},
primaryclass = {cs.IR},
title = {{MM-BRIGHT}: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval},
url = {https://arxiv.org/abs/2601.09562},
year = {2026},
}
@article{enevoldsen2025mmtebmassivemultilingualtext,
title={MMTEB: Massive Multilingual Text Embedding Benchmark},
author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and Márton Kardos and Ashwin Mathur and David Stap and Jay Gala and Wissam Siblini and Dominik Krzemiński and Genta Indra Winata and Saba Sturua and Saiteja Utpala and Mathieu Ciancone and Marion Schaeffer and Gabriel Sequeira and Diganta Misra and Shreeya Dhakal and Jonathan Rystrøm and Roman Solomatin and Ömer Çağatan and Akash Kundu and Martin Bernstorff and Shitao Xiao and Akshita Sukhlecha and Bhavish Pahwa and Rafał Poświata and Kranthi Kiran GV and Shawon Ashraf and Daniel Auras and Björn Plüster and Jan Philipp Harries and Loïc Magne and Isabelle Mohr and Mariya Hendriksen and Dawei Zhu and Hippolyte Gisserot-Boukhlef and Tom Aarsen and Jan Kostkan and Konrad Wojtasik and Taemin Lee and Marek Šuppa and Crystina Zhang and Roberta Rocca and Mohammed Hamdy and Andrianos Michail and John Yang and Manuel Faysse and Aleksei Vatolin and Nandan Thakur and Manan Dey and Dipam Vasani and Pranjal Chitale and Simone Tedeschi and Nguyen Tai and Artem Snegirev and Michael Günther and Mengzhou Xia and Weijia Shi and Xing Han Lù and Jordan Clive and Gayatri Krishnakumar and Anna Maksimova and Silvan Wehrli and Maria Tikhonova and Henil Panchal and Aleksandr Abramov and Malte Ostendorff and Zheng Liu and Simon Clematide and Lester James Miranda and Alena Fenogenova and Guangyu Song and Ruqiya Bin Safi and Wen-Ding Li and Alessia Borghini and Federico Cassano and Hongjin Su and Jimmy Lin and Howard Yen and Lasse Hansen and Sara Hooker and Chenghao Xiao and Vaibhav Adlakha and Orion Weller and Siva Reddy and Niklas Muennighoff},
publisher = {arXiv},
journal={arXiv preprint arXiv:2502.13595},
year={2025},
url={https://arxiv.org/abs/2502.13595},
doi = {10.48550/arXiv.2502.13595},
}
@article{muennighoff2022mteb,
author = {Muennighoff, Niklas and Tazi, Nouamane and Magne, Loïc and Reimers, Nils},
title = {MTEB: Massive Text Embedding Benchmark},
publisher = {arXiv},
journal={arXiv preprint arXiv:2210.07316},
year = {2022}
url = {https://arxiv.org/abs/2210.07316},
doi = {10.48550/ARXIV.2210.07316},
}
Dataset Statistics
Dataset Statistics
The following code contains the descriptive statistics from the task. These can also be obtained using:
import mteb
task = mteb.get_task("MMBrightQuantumComputingIT2TRetrieval")
desc_stats = task.metadata.descriptive_stats
{
"test": {
"num_samples": 127074,
"num_queries": 65,
"num_documents": 127009,
"number_of_characters": 278196383,
"documents_text_statistics": {
"total_text_length": 278106010,
"min_text_length": 0,
"average_text_length": 2189.655929894732,
"max_text_length": 2927957,
"unique_texts": 84016
},
"documents_image_statistics": null,
"documents_audio_statistics": null,
"documents_video_statistics": null,
"queries_text_statistics": {
"total_text_length": 90373,
"min_text_length": 299,
"average_text_length": 1390.3538461538462,
"max_text_length": 7006,
"unique_texts": 65
},
"queries_image_statistics": {
"min_image_width": 54,
"average_image_width": 869.2307692307693,
"max_image_width": 2798,
"min_image_height": 88,
"average_image_height": 718.8153846153846,
"max_image_height": 9338,
"unique_images": 64
},
"queries_audio_statistics": null,
"queries_video_statistics": null,
"relevant_docs_statistics": {
"num_relevant_docs": 168,
"min_relevant_docs_per_query": 1,
"average_relevant_docs_per_query": 2.5846153846153848,
"max_relevant_docs_per_query": 5,
"unique_relevant_docs": 168,
"num_missing_query_ids": 0,
"num_missing_corpus_ids": 0
},
"top_ranked_statistics": {
"num_top_ranked": 8244982,
"min_top_ranked_per_query": 126443,
"average_top_ranked_per_query": 126845.87692307692,
"max_top_ranked_per_query": 127009
}
}
}
This dataset card was automatically generated using MTEB
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