Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,639 papers in 12 months (-16% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Digital-Analog Quantum Simulation of Fermionic Models
L. Céleri, D. Huerga, F. Albarr'an-Arriagada +3 more·Mar 29, 2021
Simulating quantum many-body systems is a highly demanding task since the required resources grow exponentially with the dimension of the system. In the case of fermionic systems, this is even harder since nonlocal interactions emerge due to the anti...
QECOOL: On-Line Quantum Error Correction with a Superconducting Decoder for Surface Code
Yosuke Ueno, Masaaki Kondo, Masamitsu Tanaka +2 more·Mar 26, 2021
Due to the low error tolerance of a qubit, detecting and correcting errors on it is essential for fault-tolerant quantum computing. Surface code (SC) associated with its decoding algorithm is one of the most promising quantum error correction (QEC) m...
Classical simulation of quantum circuits using a multiqubit Bloch vector representation of density matrices
Qunsheng Huang, C. Mendl·Mar 25, 2021
In the Bloch sphere picture, one finds the coefficients for expanding a single-qubit density operator in terms of the identity and Pauli matrices. A generalization to $n$ qubits via tensor products represents a density operator by a real vector of le...
Preparing Bethe Ansatz Eigenstates on a Quantum Computer
J. V. Van Dyke, George S. Barron, N. Mayhall +2 more·Mar 24, 2021
Several quantum many-body models in one dimension possess exact solutions via the Bethe ansatz method, which has been highly successful for understanding their behavior. Nevertheless, there remain physical properties of such models for which analytic...
A staggered gauge-invariant quantum cellular automaton for both the Kogut-Susskind Schwinger model and the Dirac equation
Kevissen Sellapillay, P. Arrighi, G. Molfetta·Mar 24, 2021
We build a quantum cellular automaton (QCA) which coincides with 1+1 QED on its known continuum limits. It consists in a circuit of unitary gates driving the evolution of particles on a one dimensional lattice, and having them interact with the gauge...
Quantum Computing with Circular Rydberg Atoms
S. Cohen, Jeff D. Thompson·Mar 23, 2021
Rydberg atom arrays are a leading platform for quantum computing and simulation, combining strong interactions with highly coherent operations and flexible geometries. However, the achievable fidelities are limited by the finite lifetime of the Rydbe...
Effect of constraint and Tabu Search term on Variational Quantum Eigensolver and Subspace-Search Variational Quantum Eigensolver
Hikaru Wakaura, T. Tomono·Mar 23, 2021
Subspace-Search Variational Quantum Eigensolver(SSVQE) is searching method of multiple states and relies on the unitarity of transformations to ensure the orthogonality of output states for multiple states. Therefore, this method is thought to be pro...
Quantum Support Vector Machines for Continuum Suppression in B Meson Decays
J. Heredge, C. Hill, L. Hollenberg +1 more·Mar 23, 2021
Quantum computers have the potential to speed up certain computational tasks. A possibility this opens up within the field of machine learning is the use of quantum techniques that may be inefficient to simulate classically but could provide superior...
Simulation of adiabatic quantum computing for molecular ground states.
Vladimir Kremenetski, Carlos Mejuto-Zaera, Stephen J. Cotton +1 more·Mar 22, 2021
Quantum computation promises to provide substantial speedups in many practical applications with a particularly exciting one being the simulation of quantum many-body systems. Adiabatic state preparation (ASP) is one way that quantum computers could ...
Variational quantum compiling with double Q-learning
Zhimin He, Lvzhou Li, Shenggen Zheng +2 more·Mar 22, 2021
Quantum compiling aims to construct a quantum circuit V by quantum gates drawn from a native gate alphabet, which is functionally equivalent to the target unitary U. It is a crucial stage for the running of quantum algorithms on noisy intermediate-sc...
Quantum sensing with superconducting circuits
S. Danilin, M. Weides·Mar 19, 2021
Sensing and metrology play an important role in fundamental science and applications, by fulfilling the ever-present need for more precise data sets, and by allowing to make more reliable conclusions on the validity of theoretical models. Sensors are...
Computing Free Energies with Fluctuation Relations on Quantum Computers.
Lindsay Bassman Oftelie, Katherine Klymko, Diyi Liu +2 more·Mar 17, 2021
As a central thermodynamic property, free energy enables the calculation of virtually any equilibrium property of a physical system, allowing for the construction of phase diagrams and predictions about transport, chemical reactions, and biological p...
Digital Quantum Simulation of Open Quantum Systems Using Quantum Imaginary–Time Evolution
Hirsh Kamakari, Shi-Ning Sun, M. Motta +1 more·Mar 17, 2021
Quantum simulation on emerging quantum hardware is a topic of intense interest. While many studies focus on computing ground state properties or simulating unitary dynamics of closed systems, open quantum systems are an interesting target of study ow...
Counteracting dephasing in Molecular Nanomagnets by optimized qudit encodings
F. Petiziol, A. Chiesa, S. Wimberger +2 more·Mar 16, 2021
Molecular Nanomagnets may enable the implementation of qudit-based quantum error-correction codes which exploit the many spin levels naturally embedded in a single molecule, a promising step towards scalable quantum processors. To fully realize the p...
Mitigating Depolarizing Noise on Quantum Computers with Noise-Estimation Circuits.
M. Urbánek, B. Nachman, V. Pascuzzi +3 more·Mar 15, 2021
A significant problem for current quantum computers is noise. While there are many distinct noise channels, the depolarizing noise model often appropriately describes average noise for large circuits involving many qubits and gates. We present a meth...
Quantum algorithms for powering stable Hermitian matrices
G. Gonz'alez, Rahul Trivedi, J. Cirac·Mar 15, 2021
Matrix powering is a fundamental computational primitive in linear algebra. It has widespread applications in scientific computing and engineering, and underlies the solution of time-homogeneous linear ordinary differential equations, simulation of d...
VQE method: a short survey and recent developments
D. Fedorov, Bo Peng, N. Govind +1 more·Mar 15, 2021
The variational quantum eigensolver (VQE) is a method that uses a hybrid quantum-classical computational approach to find eigenvalues of a Hamiltonian. VQE has been proposed as an alternative to fully quantum algorithms such as quantum phase estimati...
Hardware-efficient error-correcting codes for large nuclear spins
J. Gross, Clément Godfrin, A. Blais +1 more·Mar 15, 2021
Universal quantum computers require a large network of qubits robust against errors. Recent theoretical and experimental studies on donor nuclear spins in silicon, engineered on semiconductor platforms compatible with industrial fabrication, show the...
Graph optimization perspective for low-depth Trotter-Suzuki decomposition
A. Schmitz, Nicolas P. D. Sawaya, S. Johri +1 more·Mar 15, 2021
Hamiltonian simulation represents an important module in a large class of quantum algorithms and simulations such as quantum machine learning, quantum linear algebra methods, and modeling for physics, material science and chemistry. One of the most p...
Exploiting anticommutation in Hamiltonian simulation
Qi Zhao, Xiao Yuan·Mar 14, 2021
Quantum computing can efficiently simulate Hamiltonian dynamics of many-body quantum physics, a task that is generally intractable with classical computers. The hardness lies at the ubiquitous anti-commutative relations of quantum operators, in corre...