Papers
Live trends in quantum computing research, updated daily from arXiv.
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Stout Smearing on a Quantum Computer
Erik J. Gustafson·Nov 10, 2022
Smearing of gauge-field configurations in lattice field theory improves the results of lattice simulations by suppressing high energy modes from correlation functions. In quantum simulations, high kinetic energy eigenstates are introduced when the ti...
Quantum search algorithm for binary constant weight codes
Kein Yukiyoshi, Naoki Ishikawa·Nov 9, 2022
A binary constant weight code is a type of error-correcting code with a wide range of applications. The problem of finding a binary constant weight code has long been studied as a combinatorial optimization problem in coding theory. In this paper, we...
Validation tests of GBS quantum computers give evidence for quantum advantage with a decoherent target
A. Dellios, B. Opanchuk, Ned Goodman +2 more·Nov 7, 2022
Computational validation is vital for all large-scale quantum computers. One needs computers that are both fast and accurate. Here we apply precise, scalable, high order statistical tests to data from large Gaussian boson sampling (GBS) quantum compu...
Analytical Formulation of the Second-Order Derivative of Energy for the Orbital-Optimized Variational Quantum Eigensolver: Application to Polarizability.
Yuya O. Nakagawa, Jiabao Chen, Shotaro Sudo +2 more·Nov 7, 2022
We develop a quantum-classical hybrid algorithm to calculate the analytical second-order derivative of the energy for the orbital-optimized variational quantum eigensolver (OO-VQE), which is a method to calculate eigenenergies of a given molecular Ha...
Low-overhead quantum error-correction codes with a cyclic topology
I. A. Simakov, I. Besedin·Nov 6, 2022
Quantum error correction is an important ingredient for scalable quantum computing. Stabilizer codes are one of the most promising and straightforward ways to correct quantum errors, are convenient for logical operations, and improve performance with...
Toward Neural Network Simulation of Variational Quantum Algorithms
Oliver Knitter, J. Stokes, S. Veerapaneni·Nov 5, 2022
Variational quantum algorithms (VQAs) utilize a hybrid quantum–classical architecture to recast problems of high-dimensional linear algebra as ones of stochastic optimization. Despite the promise of leveraging near- to intermediate-term quantum resou...
Excited-state molecular dynamics simulation based on variational quantum algorithms
H. Hirai·Nov 4, 2022
We propose an excited-state molecular dynamics simulation method based on variational quantum algorithms at a computational cost comparable to that of ground-state simulations. We utilize the feature that excited states can be obtained as metastable ...
Reservoir Computing via Quantum Recurrent Neural Networks
Samuel Yen-Chi Chen, D. Fry, Amol Deshmukh +2 more·Nov 4, 2022
Recent developments in quantum computing and machine learning have propelled the interdisciplinary study of quantum machine learning. Sequential modeling is an important task with high scientific and commercial value. Existing VQC or QNN-based method...
Analog Quantum Variational Embedding Classifier
Rui Yang, Samuel Bosch, B. Kiani +2 more·Nov 4, 2022
Quantum machine learning has the potential to provide powerful algorithms for artificial intelligence. The pursuit of quantum advantage in quantum machine learning is an active area of research. For current noisy, intermediate-scale quantum (NISQ) co...
Faster variational quantum algorithms with quantum kernel-based surrogate models
Alistair W. R. Smith, A. Paige, Myungshik S. Kim·Nov 2, 2022
We present a new optimization strategy for small-to-intermediate scale variational quantum algorithms (VQAs) on noisy near-term quantum processors which uses a Gaussian process surrogate model equipped with a classically-evaluated quantum kernel. VQA...
Quantum City: simulation of a practical near-term metropolitan quantum network
Raja Yehia, Simon Neves, E. Diamanti +1 more·Nov 2, 2022
We present the architecture and analyze the applications of a metropolitan-scale quantum network that requires only limited hardware resources for end users. Using NetSquid, a quantum network simulation tool based on discrete events, we assess the pe...
Charter: Identifying the Most-Critical Gate Operations in Quantum Circuits via Amplified Gate Reversibility
Tirthak Patel, Daniel Silver, Devesh Tiwari·Nov 1, 2022
When quantum programs are executed on noisy intermediate-scale quantum (NISQ) computers, they experience hardware noise; consequently, the program outputs are often erroneous. To mitigate the adverse effects of hardware noise, it is necessary to unde...
Time-optimal control of driven oscillators by variational circuit learning
Tangyou Huang, Yongcheng Ding, L. Dupays +4 more·Nov 1, 2022
The simulation of quantum dynamics on a digital quantum computer with parameterized circuits has widespread applications in fundamental and applied physics and chemistry. In this context, using the hybrid quantum-classical algorithm, combining classi...
Accelerated quantum Monte Carlo with probabilistic computers
S. Chowdhury, Kerem Y Çamsarı, S. Datta·Oct 31, 2022
Quantum Monte Carlo (QMC) techniques are widely used in a variety of scientific problems and much work has been dedicated to developing optimized algorithms that can accelerate QMC on standard processors (CPU). With the advent of various special purp...
Modeling noise in global Mølmer-Sørensen interactions applied to quantum approximate optimization
Phillip C. Lotshaw, Kevin D. Battles, Bryan T. Gard +3 more·Oct 31, 2022
Many-qubit Molmer-Sorensen (MS) interactions applied to trapped ions offer unique capabilities for quantum information processing, with applications including quantum simulation and the quantum approximate optimization algorithm (QAOA). Here, we deve...
TorchQuantum Case Study for Robust Quantum Circuits (Invited Paper)
Hanrui Wang, Pengyu Liu, Jinglei Cheng +10 more·Oct 29, 2022
Quantum Computing has attracted much research attention because of its potential to achieve fundamental speed and efficiency improvements in various domains. Among different quantum algorithms, Parameterized Quantum Circuits (PQC) for Quantum Machine...
Efficient Mean-Field Simulation of Quantum Circuits Inspired by Density Functional Theory.
M. Bernardi·Oct 29, 2022
Exact simulations of quantum circuits (QCs) are currently limited to ∼50 qubits because the memory and computational cost required to store the QC wave function scale exponentially with qubit number. Therefore, developing efficient schemes for approx...
Stochastic Approach for Simulating Quantum Noise Using Tensor Networks
W. Berquist, Danylo Lykov, Minzhao Liu +1 more·Oct 28, 2022
Noisy quantum simulation is challenging since one has to take into account the stochastic nature of the process. The dominating method for it is the density matrix approach. In this paper, we evaluate conditions for which this method is inferior to a...
Selection and Improvement of Product Formulae for Best Performance of Quantum Simulation
Mauro E. S. Morales, Pedro C. S. Costa, Giacomo Pantaleoni +3 more·Oct 28, 2022
Abstract Quantum algorithms for simulation of Hamiltonian evolution are often based on product formulae. The fractal methods give a systematic way to find arbitrarily high-order product formulae, but result in a large number of exponentials. On the o...
Digital Quantum Simulation of the Spin-Boson Model under Markovian Open-System Dynamics
Andreas Burger, L. Kwek, D. Poletti·Oct 28, 2022
Digital quantum computers have the potential to simulate complex quantum systems. The spin-boson model is one of such systems, used in disparate physical domains. Importantly, in a number of setups, the spin-boson model is open, i.e., the system is i...