Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Maja Franz, Luca Wolf, Maniraman Periyasamy +5 more·Feb 10, 2022
Deep Reinforcement Learning (RL) has considerably advanced over the past decade. At the same time, state-of-the-art RL algorithms require a large computational budget in terms of training time to converge. Recent work has started to approach this pro...
Devitalizing noise-driven instability of entangling logic in silicon devices with bias controls
H. Ryu, J. Kang·Feb 9, 2022
The quality of quantum bits (qubits) in silicon is highly vulnerable to charge noise that is omnipresent in semiconductor devices and is in principle hard to be suppressed. For a realistically sized quantum dot system based on a silicon-germanium het...
QAC: Quantum-computing Aided Composition
Omar Costa Hamido·Feb 9, 2022
In this chapter I will discuss the role of quantum computing in computer music and how it can be integrated to better serve the creative artists. I will start by considering different approaches in current computer music and quantum computing tools, ...
Designing exceptional-point-based graphs yielding topologically guaranteed quantum search
Quancheng Liu, D. Kessler, E. Barkai·Feb 8, 2022
Quantum walks underlie an important class of quantum computing algorithms, and represent promising approaches in various simulations and practical applications. Here we design stroboscopically monitored quantum walks and their subsequent graphs that ...
Hybrid Quantum Annealing for Larger-than-QPU Lattice-structured Problems
Jack Raymond, R. Stevanovic, William Bernoudy +6 more·Feb 7, 2022
Quantum processing units (QPUs) executing annealing algorithms have shown promise in optimization and simulation applications. Hybrid algorithms are a natural bridge to larger applications. We present a simple greedy method for solving larger-than-QP...
Classically optimized variational quantum eigensolver with applications to topological phases
K. Okada, Keita Osaki, K. Mitarai +1 more·Feb 7, 2022
Variational quantum eigensolver (VQE) is regarded as a promising candidate of hybrid quantum-classical algorithm for the near-term quantum computers. Meanwhile, VQE is confronted with a challenge that statistical error associated with the measurement...
QUARK: A Framework for Quantum Computing Application Benchmarking
Jernej Rudi Finžgar, Philipp Ross, Johannes Klepsch +1 more·Feb 7, 2022
Quantum computing (QC) is anticipated to provide a speedup over classical approaches for specific problems in optimization, simulation, and machine learning. With the advances in quantum computing toward practical applications, the need to analyze an...
Observation of Wave-Packet Branching through an Engineered Conical Intersection
Christopher S. Wang, N. Frattini, Benjamin J. Chapman +4 more·Feb 4, 2022
In chemical reactions, the interplay between coherent evolution and dissipation is central to determining key properties such as the rate and yield. Of particular interest are cases where two potential energy surfaces cross at features known as conic...
An Empirical Review of Optimization Techniques for Quantum Variational Circuits
Owen Lockwood·Feb 3, 2022
Quantum Variational Circuits (QVCs) are often claimed as one of the most potent uses of both near term and long term quantum hardware. The standard approaches to optimizing these circuits rely on a classical system to compute the new parameters at ev...
Hybrid Quantum-Classical Algorithm for Hydrodynamics
Julien Zylberman, G. Molfetta, M. Brachet +2 more·Feb 2, 2022
A new model of nonlinear charged quantum relativistic fluids is presented. This model can be discretized into Discrete Time Quantum Walks (DTQWs), and a new hybrid (quantum-classical) algorithm for implementing these walks on NISQ devices is proposed...
Kernel function based quantum algorithms for finite temperature quantum simulation
H. Wang, J. Nan, Tao Zhang +3 more·Feb 2, 2022
Computing finite temperature properties of a quantum many-body system is key to describing a broad range of correlated quantum many-body physics from quantum chemistry and condensed matter to thermal quantum field theories. Quantum computing with rap...
Tweezer-programmable 2D quantum walks in a Hubbard-regime lattice
A. Young, William J. Eckner, N. Schine +2 more·Feb 2, 2022
Quantum walks provide a framework for designing quantum algorithms that is both intuitive and universal. To leverage the computational power of these walks, it is important to be able to programmably modify the graph a walker traverses while maintain...
Quantum circuit debugging and sensitivity analysis via local inversions
Fernando A. Calderon-Vargas, T. Proctor, K. Rudinger +1 more·Feb 1, 2022
As the width and depth of quantum circuits implemented by state-of-the-art quantum processors rapidly increase, circuit analysis and assessment via classical simulation are becoming unfeasible. It is crucial, therefore, to develop new methods to iden...
Quantum algorithms for Schrieffer-Wolff transformation
Zongkang Zhang, Yongdan Yang, Xiaosi Xu +1 more·Jan 31, 2022
The Schrieffer-Wolff transformation aims to solve degenerate perturbation problems and give an effective Hamiltonian that describes the low-energy dynamics of the exact Hamiltonian in the low-energy subspace of unperturbed Hamiltonian. This unitary t...
Quantum sampling for the Euclidean path integral of lattice gauge theory
A. Yamamoto·Jan 29, 2022
Although the Hamiltonian formalism is so far favored for quantum computation of lattice gauge theory, the path integral formalism would never be useless. The advantages of the path integral formalism are the knowl-edge and experience accumulated by c...
Mana and thermalization: Probing the feasibility of near-Clifford Hamiltonian simulation
Troy J. Sewell, C. White·Jan 28, 2022
Quantum hydrodynamics is the emergent classical dynamics governing transport of conserved quantities in generic strongly-interacting quantum systems. Recent matrix product operator methods have made simulations of quantum hydrodynamics in 1+1d tracta...
Quantum Simulation of Dissipative Collective Effects on Noisy Quantum Computers
M. Cattaneo, M. Rossi, Guillermo Garc'ia-P'erez +2 more·Jan 27, 2022
Dissipative collective effects are ubiquitous in quantum physics, and their relevance ranges from the study of entanglement in biological systems to noise mitigation in quantum computers. Here, we put forward the first fully quantum simulation of dis...
Sampling rare conformational transitions with a quantum computer
Danial Ghamari, P. Hauke, Roberto Covino +1 more·Jan 27, 2022
Structural rearrangements play a central role in the organization and function of complex biomolecular systems. In principle, Molecular Dynamics (MD) simulations enable us to investigate these thermally activated processes with an atomic level of res...
Quantum State Preparation with Optimal Circuit Depth: Implementations and Applications.
Xiao-Ming Zhang, Tongyang Li, Xiao Yuan·Jan 27, 2022
Quantum state preparation is an important subroutine for quantum computing. We show that any n-qubit quantum state can be prepared with a Θ(n)-depth circuit using only single- and two-qubit gates, although with a cost of an exponential amount of anci...
Efficient quantum readout-error mitigation for sparse measurement outcomes of near-term quantum devices
Bo-Jhang Yang, Rudy Raymond, Shumpei Uno·Jan 26, 2022
The readout error on near-term quantum devices is one of the dominant noise factors, which can be mitigated by classical postprocessing called quantum readout error mitigation (QREM). The standard QREM applies the inverse of noise calibration matrix ...