Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Classical simulation of variational quantum classifiers using tensor rings
Dheeraj Peddireddy, V. Bansal, V. Aggarwal·Jan 21, 2022
In recent times, Variational Quantum Circuits (VQC) have been widely adopted to different tasks in machine learning such as Combinatorial Optimization and Supervised Learning. With the growing interest, it is pertinent to study the boundaries of the ...
Quantum error correction with silicon spin qubits
K. Takeda, A. Noiri, T. Nakajima +2 more·Jan 21, 2022
Future large-scale quantum computers will rely on quantum error correction (QEC) to protect the fragile quantum information during computation1,2. Among the possible candidate platforms for realizing quantum computing devices, the compatibility with ...
Generalization metrics for practical quantum advantage in generative models
Kaitlin Gili, M. Mauri, A. Perdomo-Ortiz·Jan 21, 2022
As the quantum computing community gravitates towards understanding the practical benefits of quantum computers, having a clear definition and evaluation scheme for assessing practical quantum advantage in the context of specific applications is para...
Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation
Nicholas Laracuente, Kaitlin N. Smith, Poolad Imany +2 more·Jan 21, 2022
A core challenge for superconducting quantum computers is to scale up the number of qubits in each processor without increasing noise or cross-talk. Distributed quantum computing across small qubit arrays, known as chiplets, can address these challen...
Lecture Notes on Quantum Algorithms for Scientific Computation
Lin Lin·Jan 20, 2022
This is a set of lecture notes used in a graduate topic class in applied mathematics called ``Quantum Algorithms for Scientific Computation'' at the Department of Mathematics, UC Berkeley during the fall semester of 2021. These lecture notes focus on...
Avoiding Barren Plateaus Using Classical Shadows
Stefan H. Sack, R. Medina, A. Michailidis +2 more·Jan 20, 2022
Variational quantum algorithms are promising algorithms for achieving quantum advantage on near-term devices. The quantum hardware is used to implement a variational wave function and measure observables, whereas the classical computer is used to sto...
Quantum Orbital Minimization Method for Excited States Calculation on a Quantum Computer.
Joel Bierman, Yingzhou Li, Jianfeng Lu·Jan 20, 2022
We propose a quantum-classical hybrid variational algorithm, the quantum orbital minimization method (qOMM), for obtaining the ground state and low-lying excited states of a Hermitian operator. Given parametrized ansatz circuits representing eigensta...
The Accuracy vs. Sampling Overhead Trade-off in Quantum Error Mitigation Using Monte Carlo-Based Channel Inversion
Yifeng Xiong, S. Ng, L. Hanzo·Jan 20, 2022
Quantum error mitigation (QEM) is a class of promising techniques for reducing the computational error of variational quantum algorithms. In general, the computational error reduction comes at the cost of a sampling overhead due to the variance-boost...
Numerical gate synthesis for quantum heuristics on bosonic quantum processors
A. B. Özgüler, D. Venturelli·Jan 19, 2022
There is a recent surge of interest and insights regarding the interplay of quantum optimal control and variational quantum algorithms. We study the framework in the context of qudits which are, for instance, definable as controllable electromagnetic...
Simulating open quantum dynamics on an NMR quantum processor using the Sz.-Nagy dilation algorithm
Akshay Gaikwad, Arvind, K. Dorai·Jan 19, 2022
We experimentally implement the Sz.-Nagy dilation algorithm to simulate open quantum dynamics on an nuclear magnetic resonance (NMR) quantum processor. The Sz.-Nagy algorithm enables the simulation of the dynamics of arbitrary-dimensional open quantu...
Low-overhead quantum computing with the color code
Felix Thomsen, Markus S. Kesselring, S. Bartlett +1 more·Jan 19, 2022
Fault-tolerant quantum computation demands significant resources: large numbers of physical qubits must be checked for errors repeatedly to protect quantum data as logic gates are implemented in the presence of noise. We demonstrate that an approach ...
The optimization landscape of hybrid quantum-classical algorithms: From quantum control to NISQ applications
Xiaozhen Ge, R. Wu, H. Rabitz·Jan 19, 2022
This review investigates the landscapes of hybrid quantum-classical optimization algorithms that are prevalent in many rapidly developing quantum technologies, where the objective function is computed by either a natural quantum system or an engineer...
FEqa: Finite element computations on quantum annealers
O. M. Raisuddin, S. De·Jan 19, 2022
: The solution of physical problems discretized using the finite element methods using quantum computers remains relatively unexplored. Here, we present a unified formulation (FEqa) to solve such problems using quantum annealers. FEqa is a hybrid tec...
The Companion of Enrico's Chart for Phase Noise and Two-Sample Variances
Enrico Rubiola, Francois Vernotte·Jan 18, 2022
Phase noise and frequency (in)stability both describe the fluctuation of stable periodic signals, from somewhat different standpoints. Frequency is unique compared to other domains of metrology, in that its fluctuations of interest span at least 14 o...
Fast quantum state transfer and entanglement for cavity-coupled many qubits via dark pathways
Yi-Xuan Wu, Ziwei Guan, Sai Li +1 more·Jan 18, 2022
Quantum state transfer (QST) and entangled state generation (ESG) are important building blocks for modern quantum information processing. To achieve these tasks, convention wisdom is to consult the quantum adiabatic evolution, which is time-consumin...
On-demand electrical control of spin qubits
W. Gilbert, T. Tanttu, W. H. Lim +17 more·Jan 18, 2022
High-performance all-electrical control is a prerequisite for scalable silicon quantum computing. The switchable interaction between spins and orbital motion of electrons in silicon quantum dots now enables the electrical control of a spin qubit with...
Computing with two quantum reservoirs connected via optimized two-qubit nonselective measurements
S. Vintskevich, D. Grigoriev·Jan 18, 2022
We propose a novel approach to link multipartite quantum systems - quantum reservoirs into a network to implement quantum reservoir computing. We present the machine learning-based heuristics to optimize performance and information transfer between s...
Closed-loop optimization of fast trapped-ion shuttling with sub-quanta excitation
J. Sterk, Henry Coakley, Joshua D. Goldberg +7 more·Jan 18, 2022
Shuttling ions at high speed and with low motional excitation is essential for realizing fast and high-fidelity algorithms in many trapped-ion-based quantum computing architectures. Achieving such performance is challenging due to the sensitivity of ...
Free-Fermion Subsystem Codes
A. Chapman, S. Flammia, Alicia J. Kollár·Jan 18, 2022
We consider quantum error-correcting subsystem codes whose gauge generators realize a translationinvariant, free-fermion-solvable spin model. In this setting, errors are suppressed by a Hamiltonian whose terms are the gauge generators of the code and...
Benchmarking Amplitude Estimation on a Superconducting Quantum Computer
Salvatore Certo, Anh Pham, D. Beaulieu·Jan 18, 2022
Amplitude Estimation (AE) is a critical subroutine in many quantum algorithms, allowing for a quadratic speedup in various applications like those involving estimating statistics of various functions as in financial Monte Carlo simulations. Much work...