Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware
J. Nelson, Marc Vuffray, A. Lokhov +2 more·Sep 3, 2021
Quantum Annealing (QA) was originally intended for accelerating the solution of combinatorial optimization tasks that have natural encodings as Ising models. However, recent experiments on QA hardware platforms have demonstrated that, in the operatin...
Quantum design for advanced qubits: plasmonium
Feng-Ming Liu, Ming-Cheng Chen, Can Wang +8 more·Sep 2, 2021
: The increasingly complex quantum electronic circuits with a number of coupled quantum degrees of freedom will become intractable to be simulated on classical computers, and requires quantum computers for an efficient simulation. In turn, it will be...
Quantum simulation of $\phi^4$ theories in qudit systems
D. Kurkcuoglu, M. S. Alam, Joshua Job +4 more·Aug 30, 2021
We discuss the implementation of quantum algorithms for lattice $\Phi^4$ theory on circuit quantum electrodynamics (cQED) system. The field is represented on qudits in a discretized field amplitude basis. The main advantage of qudit systems is that i...
Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model
A. Li, M. S. Alam, T. Iadecola +8 more·Aug 30, 2021
Quantum spin systems may offer the first opportunities for beyond-classical quantum computations of scientific interest. While general quantum simulation algorithms likely require error-corrected qubits, there may be applications of scientific intere...
Quantum-classical eigensolver using multiscale entanglement renormalization
Q. Miao, T. Barthel·Aug 30, 2021
We propose a variational quantum eigensolver (VQE) for the simulation of strongly-correlated quantum matter based on a multi-scale entanglement renormalization ansatz (MERA) and gradient-based optimization. This MERA quantum eigensolver can have subs...
The Effect of Noise on the Performance of Variational Algorithms for Quantum Chemistry
Waheeda Saib, P. Wallden, I. Akhalwaya·Aug 27, 2021
Variational quantum algorithms are suitable for use on noisy quantum systems. One of the most important use-cases is the quantum simulation of materials, using the variational quantum eigensolver (VQE). To optimize VQE performance, a suitable paramet...
Optimization and noise analysis of the quantum algorithm for solving one-dimensional Poisson equation
G. Cui, Zhimin Wang, Shengbin Wang +5 more·Aug 27, 2021
Solving differential equations is one of the most promising applications of quantum computing. Recently we proposed an efficient quantum algorithm for solving one-dimensional Poisson equation avoiding the need to perform quantum arithmetic or Hamilto...
Digital quantum simulation and Pseudoquantum Simulation of $\mathbb{Z}_2$ Gauge Higgs Model
Yiming Ding, Xiaopeng Cui, Yu Shi·Aug 27, 2021
Abstract We present a quantum algorithm for digital quantum simulation of the Z2 gauge-Higgs model on a 3 × 3 lattice, which is based on Trotter decomposition, the quantum adiabatic algorithm and its circuit realization. Then we perform a classical d...
Digital simulation of convex mixtures of Markovian and non-Markovian single qubit Pauli channels on NISQ devices
I. J. David, I. Sinayskiy, Francesco Petruccione·Aug 25, 2021
Quantum algorithms for simulating quantum systems provide a clear and provable advantage over classical algorithms in fault-tolerant settings. There is also interest in quantum algorithms and their implementation in Noisy Intermediate Scale Quantum (...
Variational quantum eigensolver techniques for simulating carbon monoxide oxidation
M. Sapova, A. Fedorov·Aug 25, 2021
Variational Quantum Eigensolver (VQE) methods aim to maximize the resources of existing noisy devices. However, they encounter difficulties in simulating molecules of industrially-relevant sizes, such as constructing the efficient ansatz. Adaptive va...
Fast Multiqubit Gates through Simultaneous Two-Qubit Gates
X. Gu, Jorge Fernández-Pendás, Pontus Vikstål +8 more·Aug 25, 2021
Near-term quantum computers are limited by the decoherence of qubits to only being able to run low-depth quantum circuits with acceptable fidelity. This severely restricts what quantum algorithms can be compiled and implemented on such devices. One wa...
Reducing unitary coupled cluster circuit depth by classical stochastic amplitude prescreening
Maria-Andreea Filip, Nathan Fitzpatrick, David Muñoz Ramo +1 more·Aug 24, 2021
Unitary Coupled Cluster (UCC) approaches are an appealing route to utilising quantum hardware to perform quantum chemistry calculations, as quantum computers can in principle perform UCC calculations in a polynomially scaling fashion, as compared to ...
A variational quantum algorithm for the Feynman-Kac formula
H. Alghassi, Amol Deshmukh, Noelle Ibrahim +3 more·Aug 24, 2021
We propose an algorithm based on variational quantum imaginary time evolution for solving the Feynman-Kac partial differential equation resulting from a multidimensional system of stochastic differential equations. We utilize the correspondence betwe...
Bosonic field digitization for quantum computers
A. Macridin, A. Li, S. Mrenna +1 more·Aug 24, 2021
Quantum simulation of quantum field theory is a flagship application of quantum computers that promises to deliver capabilities beyond classical computing. The realization of quantum advantage will require methods to accurately predict error scaling ...
Simulations of hybrid charge-sensing single-electron-transistors and CMOS circuits
T. Tanamoto, K. Ono·Aug 24, 2021
Single-electron transistors (SETs) have been extensively used as charge sensors in many areas such as quantum computations. In general, the signals of SETs are smaller than those of complementary metal-oxide semiconductor (CMOS) devices, and many amp...
Scalable error mitigation for noisy quantum circuits produces competitive expectation values
Youngseok Kim, C. J. Wood, Theodore J. Yoder +4 more·Aug 20, 2021
A technique called error mitigation can significantly improve the performance of large-scale quantum computations on near-term devices without the significant resource overheard of fault-tolerant quantum error correction. Noise in existing quantum pr...
Solving the Hubbard model using density matrix embedding theory and the variational quantum eigensolver
Lana Mineh, A. Montanaro·Aug 19, 2021
Calculating the ground state properties of a Hamiltonian can be mapped to the problem of finding the ground state of a smaller Hamiltonian through the use of embedding methods. These embedding techniques have the ability to drastically reduce the pro...
Comparing concepts of quantum and classical neural network models for image classification task
R. Potempa, Sebastian Porębski·Aug 18, 2021
While quantum architectures are still under development, when available, they will only be able to process quantum data when machine learning algorithms can only process numerical data. Therefore, in the issues of classification or regression, it is ...
Estimating distinguishability measures on quantum computers
Rochisha Agarwal, Soorya Rethinasamy, Kunal Sharma +1 more·Aug 18, 2021
The performance of a quantum information processing protocol is ultimately judged by distinguishability measures that quantify how distinguishable the actual result of the protocol is from the ideal case. The most prominent distinguishability measure...
Robustly learning the Hamiltonian dynamics of a superconducting quantum processor
D. Hangleiter, I. Roth, J. Fuksa +2 more·Aug 18, 2021
Precise means of characterizing analog quantum simulators are key to developing quantum simulators capable of beyond-classical computations. Here, we precisely estimate the free Hamiltonian parameters of a superconducting-qubit analog quantum simulat...