Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
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...
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...
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...
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...
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 ...
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...
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...
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...
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...
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...
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...
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...
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...
Perils of embedding for quantum sampling
Jeffrey Marshall, Gianni Mossi, E. Rieffel·Mar 12, 2021
Given quantum hardware that enables sampling from a family of natively implemented Hamiltonians, how well can one use that hardware to sample from a Hamiltonian outside that family? A common approach is to minor embed the desired Hamiltonian in a nat...
Constant-depth circuits for dynamic simulations of materials on quantum computers
Lindsay Bassman Oftelie, Roel Van Beeumen, Ed Younis +3 more·Mar 12, 2021
Dynamic simulation of materials is a promising application for near-term quantum computers. Current algorithms for Hamiltonian simulation, however, produce circuits that grow in depth with increasing simulation time, limiting feasible simulations to ...
Error Mitigation and Quantum-Assisted Simulation in the Error Corrected Regime.
M. Lostaglio, A. Ciani·Mar 12, 2021
A standard approach to quantum computing is based on the idea of promoting a classically simulable and fault-tolerant set of operations to a universal set by the addition of "magic" quantum states. In this context, we develop a general framework to d...
Resolving correlated states of benzyne with an error-mitigated contracted quantum eigensolver
Scott E. Smart, Jan-Niklas Boyn, D. Mazziotti·Mar 11, 2021
The simulation of strongly correlated many-electron systems is one of the most promising applications for near-term quantum devices. Here we use a class of eigenvalue solvers (presented in Phys. Rev. Lett. 126, 070504 (2021)) in which a contraction o...
Neural predictor based quantum architecture search
Shi-Xin Zhang, Chang-Yu Hsieh, Shengyu Zhang +1 more·Mar 11, 2021
Variational quantum algorithms (VQAs) are widely speculated to deliver quantum advantages for practical problems under the quantum–classical hybrid computational paradigm in the near term. Both theoretical and practical developments of VQAs share man...