Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum open system identification via global optimization: Optimally accurate Markovian models of open systems from time-series data
D. Bondar, Zakhar Popovych, K. Jacobs +2 more·Mar 31, 2022
Accurate models of the dynamics of quantum circuits are essential for optimizing and advancing quantum devices. Since first-principles models of environmental noise and dissipation in real quantum systems are often unavailable, deriving accurate mode...
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits
Jiahao Yao, Haoya Li, Marin Bukov +2 more·Mar 30, 2022
Variational quantum algorithms stand at the forefront of simulations on near-term and future fault-tolerant quantum devices. While most variational quantum algorithms involve only continuous optimization variables, the representational power of the v...
Entanglement dynamics of noisy random circuits
Zhi Li, Shengqi Sang, T. Hsieh·Mar 30, 2022
The process by which open quantum systems thermalize with an environment is both of fun-damental interest and relevant to noisy quantum devices. As a minimal model of this process, we consider a qudit chain evolving under local random unitaries and l...
Optimisation of electrically-driven multi-donor quantum dot qubits
Abhikbrata Sarkar, Joel Hochstetter, Allen Kha +4 more·Mar 30, 2022
(Dated: Multi-donor quantum dots have been at the forefront of recent progress in Si-based quantum computation. Among them, 2 P : 1 P qubits have a built-in dipole moment, making them ideal for electron dipole spin resonance (EDSR) using the donor hy...
Modelling carbon capture on metal-organic frameworks with quantum computing
G. Greene‐Diniz, D. Manrique, Wassil Sennane +7 more·Mar 29, 2022
Despite the recent progress in quantum computational algorithms for chemistry, there is a dearth of quantum computational simulations focused on material science applications, especially for the energy sector, where next generation sorbing materials ...
Optimizing the Production of Test Vehicles Using Hybrid Constrained Quantum Annealing
A. Glos, Akash Kundu, Özlem Salehi·Mar 29, 2022
Optimization of pre-production vehicle configurations is one of the challenges in the automotive industry. Given a list of tests requiring cars with certain features, it is desirable to find the minimum number of cars that cover the tests and obey th...
Observing and braiding topological Majorana modes on programmable quantum simulators
N. Harle, O. Shtanko, R. Movassagh·Mar 28, 2022
Electrons are indivisible elementary particles, yet paradoxically a collection of them can act as a fraction of a single electron, exhibiting exotic and useful properties. One such collective excitation, known as a topological Majorana mode, is natur...
Simulating open quantum many-body systems using optimised circuits in digital quantum simulation
Minjae Jo, Myungshik S. Kim·Mar 27, 2022
Digital quantum computers are potentially an ideal platform for simulating open quantum many-body systems beyond the digital classical computers. Many studies have focused on obtaining the ground state by simulating time dynamics or variational appro...
Modular quantum circuits for secure communication
Andrea Ceschini, A. Rosato, M. Panella·Mar 26, 2022
Quasi‐chaotic generators are used for producing a pseudorandom behaviour that can be used for encryption/decryption and secure communications, introducing an implementation of them based on quantum technology. Namely, the authors propose a quasi‐chao...
Accelerating Simulation of Quantum Circuits under Noise via Computational Reuse
M. Wang, Ruirui C. Huang, Swamit S. Tannu +1 more·Mar 25, 2022
To realize the full potential of quantum computers, we must mitigate qubit errors by developing noise-aware algorithms, compilers, and architectures. Thus, simulating quantum programs on high-performance computing (HPC) systems with different noise m...
Looped Pipelines Enabling Effective 3D Qubit Lattices in a Strictly 2D Device
Z. Cai, A. Siegel, S. Benjamin·Mar 24, 2022
Many quantum computing platforms are based on a two-dimensional physical layout. Here we explore a concept called looped pipelines which permits one to obtain many of the advantages of a 3D lattice while operating a strictly 2D device. The concept le...
Quantum-enhanced Markov chain Monte Carlo
David Layden, G. Mazzola, R. Mishmash +4 more·Mar 23, 2022
A quantum algorithm is introduced that performs Markov chain Monte Carlo to sample from the Boltzmann distribution of Ising models, demonstrating, through experiments and simulations, a polynomial speedup compared with classical alternatives. Quantum...
Quantum Logic Enhanced Sensing in Solid-State Spin Ensembles.
N. Arunkumar, Kevin S. Olsson, Jner Tzern Oon +7 more·Mar 23, 2022
We demonstrate quantum logic enhanced sensitivity for a macroscopic ensemble of solid-state, hybrid two-qubit sensors. We achieve over a factor of 30 improvement in the single-shot signal-to-noise ratio, translating to an ac magnetic field sensitivit...
The randomized measurement toolbox
A. Elben, S. Flammia, Hsin-Yuan Huang +4 more·Mar 21, 2022
Programmable quantum simulators and quantum computers are opening unprecedented opportunities for exploring and exploiting the properties of highly entangled complex quantum systems. The complexity of large quantum systems is the source of computatio...
Recursive Variational Quantum Compiling
S. Bilek, Kristian Wold·Mar 16, 2022
Variational quantum compiling (VQC) algorithms aim to approximate deep quantum circuits with shallow parameterized ansatzes, making them more suitable for NISQ hardware. In this article a variant of VQC named the recursive variational quantum compili...
Decoherence predictions in a superconducting quantum processor using the steepest-entropy-ascent quantum thermodynamics framework
J. A. Montañez-Barrera, M. V. von Spakovsky, Cesar E. Damian Ascencio +1 more·Mar 16, 2022
The current stage of quantum computing technology, called noisy intermediate-scale quantum (NISQ) technology, is characterized by large errors that prohibit it from being used for real applications. In these devices, decoherence, one of the main sour...
Error-mitigated simulation of quantum many-body scars on quantum computers with pulse-level control
I. Chen, Ben Burdick, Yongxin Yao +2 more·Mar 15, 2022
Quantum many-body scars are an intriguing dynamical regime in which quantum systems exhibit coherent dynamics and long-range correlations when prepared in certain initial states. We use this combination of coherence and many-body correlations to benc...
Logical shadow tomography: Efficient estimation of error-mitigated observables
Hong-ye Hu, Ryan Larose, Yi-Zhuang You +2 more·Mar 14, 2022
We introduce a technique to estimate error-mitigated expectation values on noisy quantum computers. Our technique performs shadow tomography on a logical state to produce a memory-efficient classical reconstruction of the noisy density matrix. Using effi...
Extending the reach of quantum computing for materials science with machine learning potentials
Julian Schuhmacher, G. Mazzola, F. Tacchino +4 more·Mar 14, 2022
Solving electronic structure problems represents a promising field of applications for quantum computers. Currently, much effort is spent in devising and optimizing quantum algorithms for near-term quantum processors, with the aim of outperforming cl...
Comparative study of adaptive variational quantum eigensolvers for multi-orbital impurity models
A. Mukherjee, Noah F. Berthusen, João C. Getelina +2 more·Mar 13, 2022
Hybrid quantum-classical embedding methods for correlated materials simulations provide a path towards potential quantum advantage. However, the required quantum resources arising from the multi-band nature of d and f electron materials remain largel...