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most citedA Comprehensive Survey on Graph Neural Networks

10.1k citations

Showing 2021 · quant-phShow all

20 papers · 2 filters

quant-ph2021

Quantum Chaos and Universal Trotterisation Behaviours in Digital Quantum Simulations

Cahit Kargi, Angsar Manatuly, Lukas M. Sieberer +7

Digital quantum simulation (DQS) is one of the most promising paths for achieving first useful real-world applications for quantum processors. Yet even assuming rapid progress in d…

quant-ph2021★ 16 cited

Nearly optimal quantum algorithm for generating the ground state of a free quantum field theory

Mohsen Bagherimehrab, Yuval R. Sanders, Dominic W. Berry +2

We devise a quasilinear quantum algorithm for generating an approximation for the ground state of a quantum field theory (QFT). Our quantum algorithm delivers a super-quadratic spe…

quant-ph2021★ 12 cited

Supervised Learning Enhanced Quantum Circuit Transformation

Xiangzhen Zhou, Yuan Feng, Sanjiang Li

A quantum circuit transformation (QCT) is required when executing a quantum program in a real quantum processing unit (QPU). Through inserting auxiliary SWAP gates, a QCT algorithm…

quant-ph2021★ 97 cited

Spiderweb array: A sparse spin-qubit array

Jelmer M. Boter, Juan P. Dehollain, Jeroen P. G. van Dijk +8

One of the main bottlenecks in the pursuit of a large-scale--chip-based quantum computer is the large number of control signals needed to operate qubit systems. As system sizes sca…

quant-ph2021★ 43 cited

Accessible and inaccessible quantum coherence in relativistic quantum systems

Saveetha Harikrishnan, Segar Jambulingam, Peter P. Rohde +1

The quantum coherence of a multipartite system is investigated when some of the parties are moving with uniform acceleration and the analysis is carried out using the single mode a…

quant-ph2021★ 2 cited

Quantum Generative Training Using Rényi Divergences

Maria Kieferova, Ortiz Marrero Carlos, Nathan Wiebe

Quantum neural networks (QNNs) are a framework for creating quantum algorithms that promises to combine the speedups of quantum computation with the widespread successes of machine…

quant-ph2021★ 252 cited

Precision tomography of a three-qubit donor quantum processor in silicon

Mateusz T. Mądzik, Serwan Asaad, Akram Youssry +17

Nuclear spins were among the first physical platforms to be considered for quantum information processing, because of their exceptional quantum coherence and atomic-scale footprint…

quant-ph2021

Model Checking Quantum Continuous-Time Markov Chains

Ming Xu, Jingyi Mei, Ji Guan +1

Verifying quantum systems has attracted a lot of interests in the last decades. In this paper, we initialised the model checking of quantum continuous-time Markov chain (QCTMC). As…

quant-ph2021★ 10 cited

Parallel Quantum Algorithm for Hamiltonian Simulation

Zhicheng Zhang, Qisheng Wang, Mingsheng Ying

We study how parallelism can speed up quantum simulation. A parallel quantum algorithm is proposed for simulating the dynamics of a large class of Hamiltonians with good sparse str…

quant-ph2021★ 16 cited

Verification of Distributed Quantum Programs

Yuan Feng, Sanjiang Li, Mingsheng Ying

Distributed quantum systems and especially the Quantum Internet have the ever-increasing potential to fully demonstrate the power of quantum computation. This is particularly true…

quant-ph2021★ 17 cited

Quantum Optimization for Training Quantum Neural Networks

Yidong Liao, Min-Hsiu Hsieh, Chris Ferrie

Training quantum neural networks (QNNs) using gradient-based or gradient-free classical optimisation approaches is severely impacted by the presence of barren plateaus in the cost…

quant-ph2021★ 13 cited

Noise Detection with Spectator Qubits and Quantum Feature Engineering

Akram Youssry, Gerardo A. Paz-Silva, Christopher Ferrie

Designing optimal control pulses that drive a noisy qubit to a target state is a challenging and crucial task for quantum engineering. In a situation where the properties of the qu…

quant-ph2021★ 3 cited

Approximate Equivalence Checking of Noisy Quantum Circuits

Xin Hong, Mingsheng Ying, Yuan Feng +2

We study the fundamental design automation problem of equivalence checking in the NISQ (Noisy Intermediate-Scale Quantum) computing realm where quantum noise is present inevitably.…

quant-ph2021★ 43 cited

Quantum Algorithm for Fidelity Estimation

Qisheng Wang, Zhicheng Zhang, Kean Chen +4

For two unknown mixed quantum states and in an -dimensional Hilbert space, computing their fidelity is a basic problem with many important applications in quant…

quant-ph2021★ 10 cited

A Hybrid Quantum-Classical Hamiltonian Learning Algorithm

Youle Wang, Guangxi Li, Xin Wang

Hamiltonian learning is crucial to the certification of quantum devices and quantum simulators. In this paper, we propose a hybrid quantum-classical Hamiltonian learning algorithm…

quant-ph2021★ 37 cited

Experimental characterisation of a non-Markovian quantum process

K. Goswami, C. Giarmatzi, C. Monterola +3

Every quantum system is coupled to an environment. Such system-environment interaction leads to temporal correlation between quantum operations at different times, resulting in non…

quant-ph2021★ 6 cited

Roadmap on Integrated Quantum Photonics

Galan Moody, Volker J. Sorger, Daniel J. Blumenthal +52

Integrated photonics is at the heart of many classical technologies, from optical communications to biosensors, LIDAR, and data center fiber interconnects. There is strong evidence…

quant-ph2021★ 2 cited

Ethical Quantum Computing: A Roadmap

Elija Perrier

Quantum information technologies, covering quantum computing, quantum communication and quantum sensing, are among the most significant technologies to emerge in recent decades, of…

quant-ph2021★ 42 cited

Randomizing multi-product formulas for Hamiltonian simulation

Paul K. Faehrmann, Mark Steudtner, Richard Kueng +2

Quantum simulation, the simulation of quantum processes on quantum computers, suggests a path forward for the efficient simulation of problems in condensed-matter physics, quantum…

quant-ph2021★ 6 cited

Simulating Quantum Computations with Tutte Polynomials

Ryan L. Mann

We establish a classical heuristic algorithm for exactly computing quantum probability amplitudes. Our algorithm is based on mapping output probability amplitudes of quantum circui…