Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
28,402
This Month
150
Today
0
Research Volume
13,522 papers in 12 months (-19% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Fermionic quantum approximate optimization algorithm
T. Yoshioka, Keitaro Sasada, Yuichiro Nakano +1 more·Jan 25, 2023
Quantum computers are expected to accelerate solving combinatorial optimization problems, including algorithms such as Grover adaptive search and quantum approximate optimization algorithm (QAOA). However, many combinatorial optimization problems inv...
Robustness of Gauge Digitization to Quantum Noise
Erik J. Gustafson, Henry Lamm·Jan 24, 2023
Quantum noise limits the use of quantum memory in high energy physics simulations. In particular, it breaks the gauge symmetry of stored quantum states. We examine this effect for abelian and nonabelian theories and demonstrate that optimizing the di...
Overlap-ADAPT-VQE: practical quantum chemistry on quantum computers via overlap-guided compact Ansätze
C'esar Feniou, M. Hassan, Diata Traor'e +3 more·Jan 24, 2023
ADAPT-VQE is a robust algorithm for hybrid quantum-classical simulations of quantum chemical systems on near-term quantum computers. While its iterative process systematically reaches the ground state energy, practical implementations of ADAPT-VQE ar...
Gaussian conversion protocol for heralded generation of generalized Gottesman-Kitaev-Preskill states
Yu Zheng, A. Ferraro, A. F. Kockum +1 more·Jan 24, 2023
In the field of fault-tolerant quantum computing, continuous-variable systems can be utilized to protect quantum information from noise through the use of bosonic codes. These codes map qubit-type quantum information onto the larger bosonic Hilbert s...
Solving Graph Problems with Single-Photons and Linear Optics
R. Mezher, Ana Filipa Carvalho, Shane Mansfield·Jan 23, 2023
An important challenge for current and near-term quantum devices is finding useful tasks that can be preformed on them. We first show how to efficiently encode a bounded $n\times n$ matrix $A$ into a linear optical circuit with $2n$ modes. We then ap...
Fault-tolerant quantum algorithms
Pablo Antonio Moreno Casares·Jan 19, 2023
The framework of this thesis is fault-tolerant quantum algorithms. Grover's algorithm and quantum walks are described in Chapter 2. We start by highlighting the central role that rotations play in quantum algorithms, explaining Grover's, why it is op...
Quantum Neural Network Inspired Hardware Adaptable Ansatz for Efficient Quantum Simulation of Chemical Systems.
Xiongzhi Zeng, Yi Fan, Jie Liu +2 more·Jan 18, 2023
The variational quantum eigensolver is a promising way to solve the Schrödinger equation on a noisy intermediate-scale quantum (NISQ) computer, while its success relies on a well-designed wave function ansatz. Inspired by the quantum neural network, ...
Dissipation and dephasing of interacting photons in transmon arrays
O. Busel, Sami Laine, Olli Mansikkamäki +1 more·Jan 17, 2023
Transmon arrays are one of the most promising platforms for quantum information science. Despite being often considered simply as qubits, transmons are inherently quantum mechanical multilevel systems. Being experimentally controllable with high fide...
Quantum simulations in effective model spaces: Hamiltonian-learning variational quantum eigensolver using digital quantum computers and application to the Lipkin-Meshkov-Glick model
C. Robin, M. Savage·Jan 14, 2023
The utility of effective model spaces in quantum simulations of non-relativistic quantum many-body systems is explored in the context of the Lipkin-Meshkov-Glick model of interacting fermions. We introduce an iterative hybrid-classical-quantum algori...
Beyond MP2 initialization for unitary coupled cluster quantum circuits
M. Hirsbrunner, Diana Chamaki, J. W. Mullinax +1 more·Jan 13, 2023
The unitary coupled cluster (UCC) ansatz is a promising tool for achieving high-precision results using the variational quantum eigensolver (VQE) algorithm in the NISQ era. However, results on quantum hardware are thus far very limited and simulation...
TeD-Q: a tensor network enhanced distributed hybrid quantum machine learning framework
Yaocheng Chen, C. Kuo, Yuxuan Du +2 more·Jan 13, 2023
TeD-Q is an open-source software framework for quantum machine learning, variational quantum algorithm (VQA), and simulation of quantum computing. It seamlessly integrates classical machine learning libraries with quantum simulators, giving users the...
Large-scale sparse wave function circuit simulator for applications with the variational quantum eigensolver.
J. W. Mullinax, N. Tubman·Jan 13, 2023
The standard paradigm for state preparation on quantum computers for the simulation of physical systems in the near term has been widely explored with different algorithmic methods. One such approach is the optimization of parameterized circuits, but...
Scattering amplitude from quantum computing with reduction formula
Tianyin Li, Wai Kin Lai, E. Wang +1 more·Jan 10, 2023
Utilizing the Lehmann-Symanzik-Zimmermann reduction formula, we present a new general framework for computing scattering amplitudes in quantum field theory with quantum computers in a fully nonperturbative way. In this framework, one only has to cons...
Nanoscale addressing and manipulation of neutral atoms using electromagnetically induced transparency
U. Sağlam, Thomas G. Walker, M. Saffman +1 more·Jan 9, 2023
We propose to integrate dark-state based localization techniques into a neutral atom quantum computing architecture and numerically investigate two specific schemes. The first scheme implements state-selective projective measurement by scattering pho...
Adaptive variational quantum minimally entangled typical thermal states for finite temperature simulations
João C. Getelina, N. Gomes, T. Iadecola +2 more·Jan 6, 2023
Scalable quantum algorithms for the simulation of quantum many-body systems in thermal equilibrium are important for predicting properties of quantum matter at finite temperatures. Here we describe and benchmark a quantum computing version of the min...
Benchmarking universal quantum gates via channel spectrum
Yanwu Gu, Wei-Feng Zhuang, Xudan Chai +1 more·Jan 5, 2023
Noise remains the major obstacle to scalable quantum computation. Quantum benchmarking provides key information on noise properties and is an important step for developing more advanced quantum processors. However, current benchmarking methods are ei...
A Remote Quantum Error-Correcting Code Preparation Protocol on Cluster States
Qiang Zhao, Haokun Mao, Yucheng Qiao +2 more·Jan 5, 2023
The blind quantum computation (BQC) protocol allows for privacy-preserving remote quantum computations. In this paper, we introduce a remote quantum error correction code preparation protocol for BQC using a cluster state and analyze its blindness in...
Applying quantum error-correcting codes for fault-tolerant blind quantum cloud computation
Qiang Zhao, John C.S. Lui·Jan 5, 2023
Blind Quantum Computation (BQC) is a delegation computing protocol that allows a client to utilize a remote quantum server to implement desired quantum computations while keeping her inputs, outputs, and algorithms private. However, qubit errors duri...
Efficient quantum simulation of electron-phonon systems by variational basis state encoder
Weitang Li, Jiajun Ren, Sai-nan Huai +3 more·Jan 4, 2023
Digital quantum simulation of electron-phonon systems requires truncating infinite phonon levels into $N$ basis states and then encoding them with qubit computational basis. Unary encoding and the more compact binary/Gray encoding are the two most re...
Automatic Implementation and Evaluation of Error-Correcting Codes for Quantum Computing: An Open-Source Framework for Quantum Error Correction
Thomas Grurl, Christoph Pichler, Jürgen Fuß +1 more·Jan 1, 2023
Due to the fragility of quantum mechanical effects, real quantum computers are plagued by frequent noise effects that cause errors during computations. Quantum error-correcting codes address this problem by providing means to identify and correct cor...