Quantum Brain

Papers

Live trends in quantum computing research, updated daily from arXiv.

Total Papers

28,494

This Month

224

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0

Research Volume

13,563 papers in 12 months (-18% vs prior quarter)

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Papers by research theme (12 months). Hover for details.

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

6,294 papers found

Quantum chemistry simulation of ground- and excited-state properties of the sulfonium cation on a superconducting quantum processor

M. Motta, G. O. Jones, J. Rice +5 more·Aug 4, 2022

The computational description of correlated electronic structure, and particularly of excited states of many-electron systems, is an anticipated application for quantum devices. An important ramification is to determine the dominant molecular fragmen...

MedicinePhysics

Quantum approximate optimization algorithm in non-Markovian quantum systems

Bo Yue, Shibei Xue, Yu Pan +1 more·Aug 3, 2022

Although quantum approximate optimization algorithm (QAOA) has demonstrated its quantum supremacy, its performance on Noisy Intermediate-Scale Quantum (NISQ) devices would be influenced by complicated noises, e.g. quantum colored noises. To evaluate ...

Physics

Information-theoretic hardness of out-of-time-order correlators

Jordan S. Cotler, T. Schuster, M. Mohseni·Aug 3, 2022

We establish that there are properties of quantum many-body dynamics which are efficiently learnable if we are given access to out-of-time-order correlators (OTOCs), but which require exponentially many operations in the system size if we can only me...

Physics

Simulating Quantum Circuits Using Efficient Tensor Network Contraction Algorithms with Subexponential Upper Bound.

T. Wahl, Sergii Strelchuk·Aug 2, 2022

We derive a rigorous upper bound on the classical computation time of finite-ranged tensor network contractions in d≥2 dimensions. Consequently, we show that quantum circuits of single-qubit and finite-ranged two-qubit gates can be classically simula...

MedicinePhysics

Unsupervised quantum machine learning for fraud detection

Oleksandr Kyriienko, E. Magnusson·Aug 2, 2022

We develop quantum protocols for anomaly detection and apply them to the task of credit card fraud detection (FD). First, we establish classical benchmarks based on supervised and unsupervised machine learning methods, where average precision is chos...

Physics

Conserved charges in the quantum simulation of integrable spin chains

K. Maruyoshi, T. Okuda, Juan W. Pedersen +3 more·Aug 1, 2022

When simulating the time evolution of quantum many-body systems on a digital quantum computer, one faces the challenges of quantum noise and of the Trotter error due to time discretization. For certain spin chains, it is possible to discretize the ti...

PhysicsMathematics

Fast-forwarding quantum simulation with real-time quantum Krylov subspace algorithms

C. Cortes, Iii A. Eugene DePrince, S. Gray·Aug 1, 2022

Quantum subspace diagonalization (QSD) algorithms have emerged as a competitive family of algorithms that avoid many of the optimization pitfalls associated with parameterized quantum circuit algorithms. While the vast majority of the QSD algorithms ...

Physics

Proposal for sequential Stern–Gerlach experiment with programmable quantum processors

M. Hu 胡, Haixing 海兴 Miao 缪, Y. Zhang 张·Jul 30, 2022

The historical significance of the Stern–Gerlach (SG) experiment lies in its provision of the initial evidence for space quantization. Over time, its sequential form has evolved into an elegant paradigm that effectively illustrates the fundamental pr...

Physics

Application of a variational hybrid quantum-classical algorithm to heat conduction equation and analysis of time complexity

Yangyang Liu, Zhen Chen, Chi-Wang Shu +2 more·Jul 29, 2022

The prosperous development of both hardware and algorithms for quantum computing (QC) potentially prompts a paradigm shift in scientific computing in various fields. As an increasingly active topic in QC, the variational quantum algorithm (VQA) leads...

Physics

Domain-Specific Quantum Architecture Optimization

Wan-Hsuan Lin, Daniel Bochen Tan, M. Niu +2 more·Jul 29, 2022

With the steady progress in quantum computing over recent years, roadmaps for upscaling quantum processors have relied heavily on the targeted qubit architectures. So far, similarly to the early age of classical computing, these designs have been cra...

Computer SciencePhysics

Experimental Simulation of Larger Quantum Circuits with Fewer Superconducting Qubits.

C. Ying, Bin Cheng, You-Wei Zhao +14 more·Jul 28, 2022

Although near-term quantum computing devices are still limited by the quantity and quality of qubits in the so-called NISQ era, quantum computational advantage has been experimentally demonstrated. Moreover, hybrid architectures of quantum and classi...

MedicinePhysics

Simulation of Interaction-Induced Chiral Topological Dynamics on a Digital Quantum Computer.

Jin Ming Koh, Tommy Tai, Ching Hua Lee·Jul 28, 2022

Chiral edge states are highly sought after as paradigmatic topological states relevant to both quantum information processing and dissipationless electron transport. Using superconducting transmon-based quantum computers, we demonstrate chiral topolo...

PhysicsMedicine

Towards solving the Fermi-Hubbard model via tailored quantum annealers

Ryan Levy, Zoe Gonzalez Izquierdo, Zhihui Wang +8 more·Jul 28, 2022

The Fermi-Hubbard model (FHM) on a two dimensional square lattice has long been an important testbed and target for simulating fermionic Hamiltonians on quantum hardware. We present an alternative for quantum simulation of FHMs based on an adiabatic ...

Physics

Exploring light-cone distribution amplitudes from quantum computing

Tianyin Li, Xingyu Guo, W. K. Lai +6 more·Jul 27, 2022

Light-cone distribution amplitudes (LCDAs) are essential nonperturbative quantities for theoretical predictions of exclusive high-energy processes in quantum chromodynamics (QCD). We demonstrate the prospect of calculating LCDAs on a quantum computer...

Physics

Matchgate Shadows for Fermionic Quantum Simulation

Kianna Wan, W. Huggins, Joonho Lee +1 more·Jul 27, 2022

“Classical shadows” are estimators of an unknown quantum state, constructed from suitably distributed random measurements on copies of that state (Huang et al. in Nat Phys 16:1050, 2020, https://doi.org/10.1038/s41567-020-0932-7). In this paper, we a...

Physics

Quantum critical dynamics in a 5,000-qubit programmable spin glass

A. King, Jack Raymond, T. Lanting +24 more·Jul 27, 2022

Experiments on disordered alloys^ 1 – 3 suggest that spin glasses can be brought into low-energy states faster by annealing quantum fluctuations than by conventional thermal annealing. Owing to the importance of spin glasses as a paradigmatic computa...

PhysicsMedicine

Efficient quantum analytic nuclear gradients with double factorization.

E. Hohenstein, O. Oumarou, Rachael Al-Saadon +4 more·Jul 26, 2022

Efficient representations of the Hamiltonian, such as double factorization, drastically reduce the circuit depth or the number of repetitions in error corrected and noisy intermediate-scale quantum (NISQ) algorithms for chemistry. We report a Lagrang...

PhysicsMedicine

Quantum simulation of quantum phase transitions using the convex geometry of reduced density matrices

Samuel Warren, LeeAnn M. Sager-Smith, D. Mazziotti·Jul 26, 2022

Transitions of many-particle quantum systems between distinct phases at absolute-zero temperature, known as quantum phase transitions, require an exacting treatment of particle correlations. In this work, we present a general quantum-computing approa...

Physics

Parallelization techniques for quantum simulation of fermionic systems

Jacob Bringewatt, Z. Davoudi·Jul 25, 2022

Mapping fermionic operators to qubit operators is an essential step for simulating fermionic systems on a quantum computer. We investigate how the choice of such a mapping interacts with the underlying qubit connectivity of the quantum processor to e...

Computer SciencePhysics

Resources for Bosonic Quantum Computational Advantage.

Ulysse Chabaud, M. Walschaers·Jul 24, 2022

Quantum computers promise to dramatically outperform their classical counterparts. However, the nonclassical resources enabling such computational advantages are challenging to pinpoint, as it is not a single resource but the subtle interplay of many...

MedicinePhysics
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