Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Constructing Approximately Diagonal Quantum Gates
Colton Griffin, Shawn X. Cui·Sep 10, 2021
We study a method of producing approximately diagonal 1-qubit gates. For each positive integer, the method provides a sequence of gates that are defined iteratively from a fixed diagonal gate and an arbitrary gate. These sequences are conjectured to ...
Noise-Aware Quantum Amplitude Estimation
Steven Herbert, Ifan Williams, R. Guichard +1 more·Sep 10, 2021
In this article, based on some simple and reasonable assumptions, we derive a Gaussian noise model for quantum amplitude estimation. We provide results from quantum amplitude estimation run on various IBM superconducting quantum computers and on Quan...
Fault-Tolerant Multiqubit Geometric Entangling Gates Using Photonic Cat-State Qubits
Ye‐Hong Chen, R. Stassi, W. Qin +2 more·Sep 10, 2021
We propose a theoretical protocol to implement multiqubit geometric gates (i.e., the M{\o}lmer-S{\o}rensen gate) using photonic cat-state qubits. These cat-state qubits stored in high-$Q$ resonators are promising for hardware-efficient universal quan...
Compressing Many-Body Fermion Operators under Unitary Constraints.
N. Rubin, Joonho Lee, R. Babbush·Sep 10, 2021
The most efficient known quantum circuits for preparing unitary coupled cluster states and applying Trotter steps of the arbitrary basis electronic structure Hamiltonian involve interleaved sequences of Fermionic Gaussian circuits and Ising interacti...
Streamlined quantum computing with macronode cluster states
B. W. Walshe, R. N. Alexander, N. Menicucci +1 more·Sep 10, 2021
Continuous-variable cluster states allow for fault-tolerant measurement-based quantum computing when used in tandem with the Gottesman-Kitaev-Preskill (GKP) encoding of a qubit into a bosonic mode. For quad-rail-lattice macronode cluster states, whos...
Optimal Mapping for Near-Term Quantum Architectures based on Rydberg Atoms
Sebastian Brandhofer, H. Büchler, I. Polian·Sep 9, 2021
Quantum algorithms promise quadratic or exponential speedups for applications in cryptography, chemistry and material sciences. The topologies of today's quantum computers offer limited connectivity, leading to significant overheads for implementing ...
Fundamental limits of quantum error mitigation
Ryuji Takagi, Suguru Endo, Shintaro Minagawa +1 more·Sep 9, 2021
The inevitable accumulation of errors in near-future quantum devices represents a key obstacle in delivering practical quantum advantages, motivating the development of various quantum error-mitigation methods. Here, we derive fundamental bounds conc...
Analytical Nonadiabatic Couplings and Gradients within the State-Averaged Orbital-Optimized Variational Quantum Eigensolver.
Saad Yalouz, Emiel Koridon, Bruno Senjean +3 more·Sep 9, 2021
We introduce several technical and analytical extensions to our recent state-averaged orbital-optimized variational quantum eigensolver (SA-OO-VQE) algorithm (see Yalouz et al. Quantum Sci. Technol. 2021, 6, 024004). Motivated by the limitations of c...
Quantum Machine Learning for Finance
Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar +10 more·Sep 9, 2021
Quantum computers are expected to surpass the computational capabilities of classical computers during this decade, and achieve disruptive impact on numerous industry sectors, particularly finance. In fact, finance is estimated to be the first indust...
Verifying BQP Computations on Noisy Devices with Minimal Overhead
D. Leichtle, Luka Music, E. Kashefi +1 more·Sep 9, 2021
With the development of delegated quantum computation, clients will want to ensure confidentiality of their data and algorithms, and the integrity of their computations. While protocols for blind and verifiable quantum computation exist, they suffer ...
Improving quantum linear system solvers via a gradient descent perspective
S. Gribling, Iordanis Kerenidis, D'aniel Szil'agyi·Sep 9, 2021
Solving systems of linear equations is one of the most important primitives in quantum computing that has the potential to provide a practical quantum advantage in many different areas, including in optimization, simulation, and machine learning. In ...
Entangling-gate error from coherently displaced motional modes of trapped ions
B. Ruzic, T. Barrick, J. Hunker +7 more·Sep 9, 2021
Entangling gates in trapped-ion quantum computing have primarily targeted stationary ions with initial motional distributions that are thermal and close to the ground state. However, future systems will likely incur significant non-thermal excitation...
A low-power integrated magneto-optic modulator on silicon for cryogenic applications
P. Pintus, L. Ranzani, S. Pinna +9 more·Sep 9, 2021
A fundamental challenge of the quantum revolution is to efficiently interface the quantum computing systems operating at cryogenic temperatures with room temperature electronics and media for high data-rate communication. Current approaches to contro...
A case study of variational quantum algorithms for a job shop scheduling problem
D. Amaro, Matthias Rosenkranz, Nathan Fitzpatrick +2 more·Sep 8, 2021
Combinatorial optimization models a vast range of industrial processes aiming at improving their efficiency. In general, solving this type of problem exactly is computationally intractable. Therefore, practitioners rely on heuristic solution approach...
Variational quantum amplitude estimation
K. Plekhanov, Matthias Rosenkranz, Mattia Fiorentini +1 more·Sep 8, 2021
We propose to perform amplitude estimation with the help of constant-depth quantum circuits that variationally approximate states during amplitude amplification. In the context of Monte Carlo (MC) integration, we numerically show that shallow circuit...
Simplified quantum algorithm for the oracle identification problem
Leila Taghavi·Sep 8, 2021
In the oracle identification problem we have oracle access to bits of an unknown string x of length n, with the promise that it belongs to a known set C⊆{0,1}n\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfont...
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper)
Zhepeng Wang, Zhiding Liang, Shangli Zhou +4 more·Sep 8, 2021
With the constant increase of the number of quantum bits (qubits) in the actual quantum computers, implementing and accelerating the prevalent deep learning on quantum computers are becoming possible. Along with this trend, there emerge quantum neura...
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper)
Zhiding Liang, Zhepeng Wang, Junhuan Yang +4 more·Sep 8, 2021
In the noisy intermediate-scale quantum (NISQ) era, one of the key questions is how to deal with the high noise level existing in physical quantum bits (qubits). Quantum error correction is promising but requires an extensive number (e.g., over 1,000...
Quantum computational advantage via 60-qubit 24-cycle random circuit sampling.
Qingling Zhu, S. Cao, Fusheng Chen +50 more·Sep 8, 2021
To ensure a long-term quantum computational advantage, the quantum hardware should be upgraded to withstand the competition of continuously improved classical algorithms and hardwares. Here, we demonstrate a superconducting quantum computing systems ...
First-Principles Predictions of Out-of-Plane Group IV and V Dimers as High-Symmetry, High-Spin Defects in Hexagonal Boron Nitride.
J. Bhang, He Ma, Donggyu Yim +2 more·Sep 8, 2021
Hexagonal boron nitride (h-BN) has been recently found to host a variety of quantum point defects, which are promising candidates as single-photon sources for solid-state quantum nanophotonic applications. Most recently, optically addressable spin qu...