Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Trapped Rydberg ions: A new platform for quantum information processing
A. Mokhberi, M. Hennrich, F. Schmidt-Kaler·Mar 19, 2020
Abstract In this chapter, we present an overview of experiments with trapped Rydberg ions and outline the advantages and challenges of developing applications of this new platform for quantum computing, sensing, and simulation. Trapped Rydberg ions f...
Elimination of unwanted qubit interactions for parametric exchange two-qubit gates in a tunable coupling circuit
X. Han, T. Cai, X. Li +6 more·Mar 19, 2020
We experimentally demonstrate a simple-design tunable coupler, achieving a continuous tunability for eliminating unwanted qubit interactions. We implement two-qubit iSWAP gate by applying a fast-flux bias modulation pulse on the coupler to turn on pa...
Hamiltonian simulation algorithms for near-term quantum hardware
Laura Clinton, Johannes Bausch, T. Cubitt·Mar 15, 2020
The quantum circuit model is the de-facto way of designing quantum algorithms. Yet any level of abstraction away from the underlying hardware incurs overhead. In this work, we develop quantum algorithms for Hamiltonian simulation "one level below” th...
Digital Simulation of Topological Matter on Programmable Quantum Processors.
F. Mei, Qihao Guo, Ya-Fei Yu +3 more·Mar 13, 2020
Simulating the topological phases of matter in synthetic quantum simulators is a topic of considerable interest. Given the universality of digital quantum simulators, the prospect of digitally simulating exotic topological phases is greatly enhanced....
Gutzwiller hybrid quantum-classical computing approach for correlated materials
Yongxin Yao, Feng Zhang, Caizhuang Wang +2 more·Mar 9, 2020
Rapid progress in noisy intermediate-scale quantum (NISQ) computing technology has led to the development of novel resource-efficient hybrid quantum-classical algorithms, such as the variational quantum eigensolver (VQE), that can address open challe...
Hierarchies of localizable entanglement due to spatial distribution of local noise
R. Banerjee, A. Pal, Aditi Sen(De)·Mar 4, 2020
Complete characterization of a noisy multipartite quantum state in terms of entanglement requires full knowledge of how the entanglement content in the state is affected by the spatial distribution of noise in the state. Specifically, we find that if...
Considerations for evaluating thermodynamic properties with hybrid quantum-classical computing work flows
Spencer T. Stober, Stuart M. Harwood, Dimitar Trenev +3 more·Mar 4, 2020
Quantum chemistry applications on quantum computers currently rely heavily on the variational quantum eigensolver (VQE) algorithm. This hybrid quantum-classical algorithm aims at finding ground state solutions of molecular systems based on the variat...
Calculating nonadiabatic couplings and Berry's phase by variational quantum eigensolvers
Shiro Tamiya, Sho Koh, Yuya O. Nakagawa·Mar 3, 2020
Investigating systems in quantum chemistry and quantum many-body physics with the variational quantum eigensolver (VQE) is one of the most promising applications of forthcoming near-term quantum computers. The VQE is a variational algorithm for findi...
Precise Quantum Simulations with Optical Lattices
Xingze Qiu, Xiaopeng Li·Mar 3, 2020
We present an efficient approach to precisely simulate tight binding models with optical lattices, based on programmable digital-micromirror-device (DMD) techniques. Our approach consists of a subroutine of Wegner-flow enabled precise extraction of a...
Improved Simulation of Quantum Circuits by Fewer Gaussian Eliminations
L. Kocia, M. Sarovar·Mar 2, 2020
We show that the cost of strong simulation of quantum circuits using $t$ $T$ gate magic states exhibits non-trivial reductions on its upper bound for $t=1$, $t=2$, $t=3$, and $t=6$ with odd-prime-qudits. This agrees with previous numerical bounds fou...
Chemistry on Quantum Computers with Virtual Quantum Subspace Expansion.
M. Urbánek, Daan Camps, Roel Van Beeumen +1 more·Feb 28, 2020
Simulating chemical systems on quantum computers has been limited to a few electrons in a minimal basis. We demonstrate experimentally that the virtual quantum subspace expansion (Takeshita, T.; Phys. Rev. X 2020, 10, 011004, 10.1103/PhysRevX.10.0110...
Predicting excited states from ground state wavefunction by supervised quantum machine learning
H. Kawai, Yuya O. Nakagawa·Feb 28, 2020
Excited states of molecules lie in the heart of photochemistry and chemical reactions. The recent development in quantum computational chemistry leads to inventions of a variety of algorithms that calculate the excited states of molecules on near-ter...
Digital quantum simulation of molecular dynamics and control
Alicia B. Magann, Matthew D. Grace, H. Rabitz +1 more·Feb 28, 2020
Optimally-shaped electromagnetic fields have the capacity to coherently control the dynamics of quantum systems, and thus offer a promising means for controlling molecular transformations relevant to chemical, biological, and materials applications. ...
Finding the ground state of spin Hamiltonians with reinforcement learning
K. Mills, Pooya Ronagh, Isaac Tamblyn·Feb 28, 2020
Reinforcement learning (RL) has become a proven method for optimizing a procedure for which success has been defined, but the specific actions needed to achieve it have not. Using a method we call ‘controlled online optimization learning’ (COOL), we ...
Approximating the quantum approximate optimization algorithm with digital-analog interactions
David Headley, T. Müller, Ana Martin +3 more·Feb 27, 2020
The quantum approximate optimisation algorithm was proposed as a heuristic method for solving combinatorial optimisation problems on near-term quantum computers and may be among the first algorithms to perform useful computations in the post-supremac...
Efficient phase-factor evaluation in quantum signal processing
Yulong Dong, X. Meng, K. B. Whaley +1 more·Feb 26, 2020
Quantum signal processing (QSP) is a powerful quantum algorithm to exactly implement matrix polynomials on quantum computers. Asymptotic analysis of quantum algorithms based on QSP has shown that asymptotically optimal results can in principle be obt...
Quantum Algorithms for Simulating the Lattice Schwinger Model
Alexander F. Shaw, P. Lougovski, Jesse R. Stryker +1 more·Feb 25, 2020
The Schwinger model (quantum electrodynamics in 1+1 dimensions) is a testbed for the study of quantum gauge field theories. We give scalable, explicit digital quantum algorithms to simulate the lattice Schwinger model in both NISQ and fault-tolerant ...
Codar: A Contextual Duration-Aware Qubit Mapping for Various NISQ Devices
Haowei Deng, Yu Zhang, Quanxi Li·Feb 24, 2020
Quantum computing devices in the NISQ era share common features and challenges like limited connectivity between qubits. Since two-qubit gates are allowed on limited qubit pairs, quantum compilers must transform original quantum programs to fit the h...
Alibaba Cloud Quantum Development Platform: Surface Code Simulations with Crosstalk
Cupjin Huang, Xiaotong Ni, Fang Zhang +11 more·Feb 20, 2020
We report, in a sequence of notes, our work on the Alibaba Cloud Quantum Development Platform (AC-QDP). AC-QDP provides a set of tools for aiding the development of both quantum computing algorithms and quantum processors, and is powered by a large-s...
Scaling up electronic structure calculations on quantum computers: The frozen natural orbital based method of increments.
P. Verma, Lee M J Huntington, Marc P. Coons +3 more·Feb 18, 2020
The method of increments and frozen natural orbital (MI-FNO) framework is introduced to help expedite the application of noisy, intermediate-scale quantum (NISQ) devices for quantum chemistry simulations. The MI-FNO framework provides a systematic re...