Quantum Brain

Papers

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

Total Papers

27,980

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1,396

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Research Volume

13,222 papers in 12 months (+3% vs prior quarter)

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

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2,487 papers found

A full circuit-based quantum algorithm for excited-states in quantum chemistry

Jingwei Wen, Zheng-an Wang, Chi-Tong Chen +7 more·Dec 28, 2021

Utilizing quantum computer to investigate quantum chemistry is an important research field nowadays. In addition to the ground-state problems that have been widely studied, the determination of excited-states plays a crucial role in the prediction an...

Computer SciencePhysics

Quantum dynamics simulations beyond the coherence time on noisy intermediate-scale quantum hardware by variational Trotter compression

Noah F. Berthusen, T. V. Trevisan, T. Iadecola +1 more·Dec 23, 2021

We demonstrate a post-quench dynamics simulation of a Heisenberg model on present-day IBM quantum hardware that extends beyond the coherence time of the device. This is achieved using a hybrid quantum-classical algorithm that propagates a state using...

Physics

Shortcuts to the quantum approximate optimization algorithm

Yahui Chai, Yongjian Han, Yuchun Wu +3 more·Dec 21, 2021

The Quantum Approximate Optimization Algorithm (QAOA) is a quantum-classical hybrid algorithm intending to find the ground state of a target Hamiltonian. Theoretically, QAOA can obtain the approximate solution if the quantum circuit is deep enough. A...

Physics

Variational Quantum‐Neural Hybrid Error Mitigation

Shi-Xin Zhang, Z. Wan, Chang-Yu Hsieh +2 more·Dec 20, 2021

Quantum error mitigation (QEM) is crucial for obtaining reliable results on quantum computers by suppressing quantum noise with moderate resources. It is a key factor for successful and practical quantum algorithm implementations in the noisy interme...

Physics

Variational Quantum Soft Actor-Critic

Qingfeng Lan·Dec 20, 2021

Quantum computing has a superior advantage in tackling specific problems, such as integer factorization and Simon's problem. For more general tasks in machine learning, by applying variational quantum circuits, more and more quantum algorithms have b...

Computer SciencePhysics

Calculation of Core-Excited and Core-Ionized States Using Variational Quantum Deflation Method and Applications to Photocatalyst Modeling

Soichi Shirai, Takahiro Horiba, H. Hirai·Dec 20, 2021

The possibility of performing quantum-chemical calculations using quantum computers has attracted much interest. Variational quantum deflation (VQD) is a quantum-classical hybrid algorithm for the calculation of excited states with noisy intermediate...

PhysicsMedicine

A prototype of quantum von Neumann architecture

Dongsheng Wang·Dec 17, 2021

A modern computer system, based on the von Neumann architecture, is a complicated system with several interactive modular parts. It requires a thorough understanding of the physics of information storage, processing, protection, readout, etc. Quantum...

PhysicsComputer ScienceEngineeringMathematics

Dynamical approach to improving Majorana qubits and distinguishing them from trivial bound states

Brett Min, Bastien Fajardo, T. Pereg-Barnea +1 more·Dec 15, 2021

We study a series of dynamical protocols which involve periodically driving a quantum dot coupled to a putative nanowire hosting Majorana zero modes (MZMs) to i) reduce the hybridization between MZMs, ii) improve the coherence of the Majorana qubit w...

Physics

Hybrid Quantum Benders’ Decomposition For Mixed-integer Linear Programming

Zhongqi Zhao, Lei Fan, Zhu Han·Dec 14, 2021

The Benders’ decomposition algorithm is a technique in mathematical programming for complex mixed-integer linear programming (MILP) problems with a particular block structure. The strategy of Benders’ decomposition can be described as a strategy of d...

Computer ScienceMathematics

Multistate transition dynamics by strong time-dependent perturbation in NISQ era

Yulun Wang, P. Krstic·Dec 13, 2021

We develop a quantum computing scheme utilizing McLachlan variational principle in a hybrid quantum–classical algorithm to accurately calculate the transition dynamics of a closed quantum system with many excited states subject to a strong time-depen...

Physics

An Optimized Quantum Implementation of ISD on Scalable Quantum Resources

Andre Esser, Sergi Ramos-Calderer, E. Bellini +2 more·Dec 12, 2021

The security of code based constructions is usually assessed by Information Set Decoding (ISD) algorithms. In the quantum setting, amplitude amplification yields an asymptotic square root gain over the classical analogue. However, it is still unclear...

Computer SciencePhysics

Quantum Gaussian filter for exploring ground-state properties

Mingjun He, Dan-Bo Zhang, Z. D. Wang·Dec 11, 2021

Filter methods realize a projection from a superposed quantum state onto a target state, which can be efficient if two states have sufficient overlap. Here we propose a quantum Gaussian filter (QGF) with the filter operator being a Gaussian function ...

Physics

Q-means using variational quantum feature embedding

Arvind S. Menon, Nikaash Puri·Dec 11, 2021

This paper proposes a hybrid quantum-classical algorithm that learns a suitable quantum feature map that separates unlabelled data that is originally non linearly separable in the classical space using a Variational quantum feature map and q-means as...

Physics

Hybrid quantum-classical multi-cut Benders approach with a power system application

N. Paterakis·Dec 10, 2021

Leveraging the current generation of quantum devices to solve optimization problems of practical interest necessitates the development of hybrid quantum-classical (HQC) solution approaches. In this paper, a multi-cut Benders decomposition (BD) approa...

Computer SciencePhysicsMathematics

Mapping the metal-insulator phase diagram by algebraically fast-forwarding dynamics on a cloud quantum computer

Thomas Steckmann, Trevor Keen, Efekan Kökcü +3 more·Dec 10, 2021

Dynamical mean-field theory (DMFT) maps the local Green's function of the Hubbard model to that of the Anderson impurity model and thus gives an approximate solution of the Hubbard model from the solution of simpler quantum impurity model. Quantum an...

Physics

Quantum error correction with gauge symmetries

A. Rajput, A. Roggero, N. Wiebe·Dec 9, 2021

Quantum simulations of lattice gauge theories (LGTs) are often formulated on an enlarged Hilbert space containing both physical and unphysical sectors in order to retain a local Hamiltonian. We provide simple fault-tolerant procedures that exploit su...

Physics

Expanding variational quantum eigensolvers to larger systems by dividing the calculations between classical and quantum hardware

John P. T. Stenger, D. Gunlycke, C. Hellberg·Dec 9, 2021

We present a hybrid classical/quantum algorithm for efficiently solving the eigenvalue problem of many-particle Hamiltonians on quantum computers with limited resources by splitting the workload between classical and quantum processors. This algorith...

Physics

Simulating the Electronic Structure of Spin Defects on Quantum Computers

Benchen Huang, M. Govoni, G. Galli·Dec 8, 2021

We present calculations of both the ground and excited state energies of spin defects in solids carried out on a quantum computer, using a hybrid classical/quantum protocol. We focus on the negatively charged nitrogen vacancy center in diamond and on...

Physics

A quantum processor based on coherent transport of entangled atom arrays

D. Bluvstein, H. Levine, G. Semeghini +9 more·Dec 7, 2021

The ability to engineer parallel, programmable operations between desired qubits within a quantum processor is key for building scalable quantum information systems1,2. In most state-of-the-art approaches, qubits interact locally, constrained by the ...

PhysicsMedicine

Hybrid quantum-classical algorithm for computing imaginary-time correlation functions

Rihito Sakurai, W. Mizukami, H. Shinaoka·Dec 6, 2021

Quantitative descriptions of strongly correlated materials pose a considerable challenge in condensed matter physics and chemistry. A promising approach to address this problem is quantum embedding methods. In particular, the dynamical mean-field the...

Physics
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