Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Error mitigation in quantum metrology via zero noise extrapolation
Zhuo Zhao, K. C. Tan·Jan 11, 2021
We consider Zero Noise Extrapolation (ZNE) as an error mitigation strategy in quantum metrology. It is shown that noise expansion can be systematically performed over sufficiently short time scales for general Markovian noise models described by the ...
Efficient Hamiltonian simulation for solving option price dynamics
Javier Gonzalez-Conde, Ángel Rodríguez-Rozas, E. Solano +1 more·Jan 11, 2021
Pricing financial derivatives, in particular European-style options at different time-maturities and strikes, means a relevant problem in finance. The dynamics describing the price of vanilla options when constant volatilities and interest rates are ...
Quantum Simulation of the Bosonic Creutz Ladder with a Parametric Cavity.
Jimmy S. C. Hung, J. Busnaina, C. S. Chang +6 more·Jan 11, 2021
There has been a growing interest in realizing quantum simulators for physical systems where perturbative methods are ineffective. The scalability and flexibility of circuit quantum electrodynamics make it a promising platform for implementing variou...
Quantum Theory from Principles, Quantum Software from Diagrams
J. Wetering·Jan 10, 2021
This thesis consists of two parts. The first part is about how quantum theory can be recovered from first principles, while the second part is about the application of diagrammatic reasoning, specifically the ZX-calculus, to practical problems in qua...
Bright Electrically Controllable Quantum‐Dot‐Molecule Devices Fabricated by In Situ Electron‐Beam Lithography
Johannes Schall, M. Deconinck, N. Bart +15 more·Jan 10, 2021
Self‐organized semiconductor quantum dots represent almost ideal two‐level systems, which have strong potential to applications in photonic quantum technologies. For instance, they can act as emitters in close‐to‐ideal quantum light sources. Coupled ...
Quantum Generative Models for Small Molecule Drug Discovery
Junde Li, R. Topaloglu, Swaroop Ghosh·Jan 9, 2021
Existing drug discovery pipelines take 5–10 years and cost billions of dollars. Computational approaches aim to sample from regions of the whole molecular and solid-state compounds called chemical space, which could be on the order of $10^{60}$. Deep...
A (quasi-)polynomial time heuristic algorithm for synthesizing T-depth optimal circuits
Vlad Gheorghiu, M. Mosca, Priyanka Mukhopadhyay·Jan 8, 2021
We investigate the problem of synthesizing T-depth optimal quantum circuits for exactly implementable unitaries over the Clifford+T gate set. We construct a subset, Vn\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage...
Fault-Tolerant Continuous-Variable Measurement-based Quantum Computation Architecture
M. V. Larsen, C. Chamberland, Kyungjoo Noh +2 more·Jan 8, 2021
Continuous variable measurement-based quantum computation on cluster states has in recent years shown great potential for scalable, universal, and fault-tolerant quantum computation when combined with the Gottesman-Kitaev-Preskill (GKP) code and quan...
Recent progress on cluster and meron algorithms for strongly correlated systems
D. Banerjee·Jan 8, 2021
Ab initio studies of strongly interacting bosonic and fermionic systems are greatly facilitated by efficient Monte Carlo algorithms. This article emphasizes this requirement and outlines the ideas behind the construction of the cluster algorithms and...
Learning quantum data with the quantum earth mover’s distance
B. Kiani, Giacomo De Palma, M. Marvian +2 more·Jan 8, 2021
Quantifying how far the output of a learning algorithm is from its target is an essential task in machine learning. However, in quantum settings, the loss landscapes of commonly used distance metrics often produce undesirable outcomes such as poor lo...
Miniaturizing neural networks for charge state autotuning in quantum dots
Stefanie Czischek, Victor Yon, Marc-Antoine Genest +8 more·Jan 8, 2021
A key challenge in scaling quantum computers is the calibration and control of multiple qubits. In solid-state quantum dots (QDs), the gate voltages required to stabilize quantized charges are unique for each individual qubit, resulting in a high-dim...
Simulating Finite-Time Isothermal Processes with Superconducting Quantum Circuits
Jin-Fu Chen, Ying Li, Hui Dong·Jan 8, 2021
Finite-time isothermal processes are ubiquitous in quantum-heat-engine cycles, yet complicated due to the coexistence of the changing Hamiltonian and the interaction with the thermal bath. Such complexity prevents classical thermodynamic measurements...
Modular quantum computing and quantum-like devices
Vilela Mendes·Jan 8, 2021
The two essential ideas in this paper are, on the one hand, that a considerable amount of the power of quantum computation may be obtained by adding to a classical computer a few specialized quantum modules and, on the other hand, that such modules m...
Practical limits of error correction for quantum metrology
Nathan Shettell, W. Munro, D. Markham +1 more·Jan 8, 2021
Noise is the greatest obstacle in quantum metrology that limits it achievable precision and sensitivity. There are many techniques to mitigate the effect of noise, but this can never be done completely. One commonly proposed technique is to repeatedl...
Quantum Error Mitigation using Symmetry Expansion
Z. Cai·Jan 8, 2021
Even with the recent rapid developments in quantum hardware, noise remains the biggest challenge for the practical applications of any near-term quantum devices. Full quantum error correction cannot be implemented in these devices due to their limite...
Fair Sampling Error Analysis on NISQ Devices
John K. Golden, Andreas Bärtschi, Daniel O’Malley +1 more·Jan 8, 2021
We study the status of fair sampling on Noisy Intermediate Scale Quantum (NISQ) devices, in particular the IBM Q family of backends. Using the recently introduced Grover Mixer-QAOA algorithm for discrete optimization, we generate fair sampling circui...
Efficient decomposition of unitary matrices in quantum circuit compilers
A. Krol, A. Sarkar, I. Ashraf +2 more·Jan 8, 2021
Unitary decomposition is a widely used method to map quantum algorithms to an arbitrary set of quantum gates. Efficient implementation of this decomposition allows for the translation of bigger unitary gates into elementary quantum operations, which ...
Distributed Quantum Computing and Network Control for Accelerated VQE
Stephen Diadamo, Marco Ghibaudi, James R. Cruise·Jan 7, 2021
Interconnecting small quantum computers will be essential in the future for creating large-scale, robust quantum computers. Methods for distributing monolithic quantum algorithms efficiently are, thus, needed. In this article, we consider an approach...
Modeling and mitigation of cross-talk effects in readout noise with applications to the Quantum Approximate Optimization Algorithm
Filip B. Maciejewski, F. Baccari, Z. Zimbor'as +1 more·Jan 7, 2021
Measurement noise is one of the main sources of errors in currently available quantum devices based on superconducting qubits. At the same time, the complexity of its characterization and mitigation often exhibits exponential scaling with the system ...
Translation of Quantum Circuits into Quantum Turing Machines for Deutsch and Deutsch-Jozsa Problems
Giuseppe Corrente·Jan 6, 2021
We want in this article to show the usefulness of Quantum Turing Machine (QTM) in a high-level didactic context as well as in theoretical studies. We use QTM to show its equivalence with quantum circuit model for Deutsch and Deutsch-Jozsa algorithms....