Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Accelerating Quantum Computations of Chemistry Through Regularized Compressed Double Factorization
O. Oumarou, Maximilian Scheurer, R. Parrish +2 more·Dec 15, 2022
We propose the regularized compressed double factorization (RC-DF) method to classically compute compressed representations of molecular Hamiltonians that enable efficient simulation with noisy intermediate scale (NISQ) and error corrected quantum al...
Quantum Methods for Neural Networks and Application to Medical Image Classification
Jonas Landman, Natansh Mathur, Yun Li +4 more·Dec 14, 2022
Quantum machine learning techniques have been proposed as a way to potentially enhance performance in machine learning applications. In this paper, we introduce two new quantum methods for neural networks. The first one is a quantum orthogonal neural...
Classical simulators as quantum error mitigators via circuit cutting
Ji Liu, Alvin Gonzales, Zain Saleem·Dec 14, 2022
We introduce an error mitigation framework that mitigates errors in a quantum circuit using circuit cutting. Our framework can be implemented in polynomial time for a wide variety of quantum circuits. Our technique involves cutting the circuit in suc...
Reconstructing charged particle track segments with a quantum-enhanced support vector machine
Philippa Duckett, G. Facini, Marcin Jastrzębski +3 more·Dec 14, 2022
Reconstructing the trajectories of charged particles from the collection of hits they leave in the detectors of collider experiments like those at the Large Hadron Collider (LHC) is a challenging combinatorics problem and computationally intensive. T...
Tactile Network Resource Allocation Enabled by Quantum Annealing Based on ILP Modeling
Arthur Witt, C. Körber, Andreas Kirstädter +1 more·Dec 14, 2022
Agile networks with fast adaptation and reconfiguration capabilities are required for on-demand provisioning of various network services. We propose a new methodical framework for short-time network optimization based on quantum computing (QC) and in...
Time-dependent Rabi frequencies to protect quantum operations on an atomic qutrit by continuous dynamical decoupling
Adonai Hilário da Silva, R. Napolitano, F. Fanchini +1 more·Dec 14, 2022
We investigate the form required for the time-dependent Rabi frequencies involved in a procedure capable to protect the action of quantum gates on an atomic qutrit by means of external fields continuously decoupling the system from the environmental ...
Quantum transport in graphene nanoribbon networks: complexity reduction by a network decimation algorithm
T. Rodemund, Fabian Teichert, M. Hentschel +1 more·Dec 14, 2022
We study electronic quantum transport (QT) in graphene nanoribbon (GNR) networks on mesoscopic length scales. We focus on zigzag GNRs and investigate the conductance properties of statistical networks. To this end we use a density-functional-based ti...
A Novel State Connection Strategy for Quantum Computing to Represent and Compress Digital Images
Md. Ershadul Haque, M. Paul, Tanmoy Debnath·Dec 14, 2022
Quantum image processing draws a lot of attention due to faster data computation and storage compared to classical data processing systems. Converting classical image data into the quantum domain and state label preparation complexity is still a chal...
Identifying Pauli blockade regimes in bilayer graphene double quantum dots
Ankan Mukherjee, B. Muralidharan·Dec 14, 2022
Recent experimental observations of current blockades in 2D material quantum-dot platforms have opened new avenues for spin and valley-qubit processing. Motivated by experimental results, we construct a model capturing the delicate interplay of Coulo...
Quantum Clustering with k-Means: a Hybrid Approach
Alessandro Poggiali, Alessandro Berti, A. Bernasconi +2 more·Dec 13, 2022
Quantum computing is a promising paradigm based on quantum theory for performing fast computations. Quantum algorithms are expected to surpass their classical counterparts in terms of computational complexity for certain tasks, including machine lear...
A graph-state based synthesis framework for Clifford isometries
T. Brugière, S. Martiel, Christophe Vuillot·Dec 13, 2022
We tackle the problem of Clifford isometry compilation, i.e, how to synthesize a Clifford isometry into an executable quantum circuit. We propose a simple framework for synthesis that only exploits the elementary properties of the Clifford group and ...
A Quantum Computing Approach for the Unit Commitment Problem
Pascal Halffmann, Patrick Holzer, K. Plociennik +1 more·Dec 13, 2022
Planning energy production is a challenging task due to its cost-sensitivity, fast-moving energy markets, uncertainties in demand, and technical constraints of power plants. Thus, more complex models of this so-called \emph{unit commitment problem (U...
Soliton versus single-photon quantum dynamics in arrays of superconducting qubits
Ben Blain, G. Marchegiani, J. Polo +2 more·Dec 13, 2022
Superconducting circuits constitute a promising platform for future implementation of quantum processors and simulators. Arrays of capacitively coupled transmon qubits naturally implement the Bose-Hubbard model with attractive on-site interaction. Th...
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Nico Meyer, D. D. Scherer, A. Plinge +2 more·Dec 13, 2022
Quantum machine learning implemented by variational quantum circuits (VQCs) is considered a promising concept for the noisy intermediate-scale quantum computing era. Focusing on applications in quantum reinforcement learning, we propose a specific ac...
A programming language characterizing quantum polynomial time
Emmanuel Hainry, Romain P'echoux, M'ario Silva·Dec 13, 2022
We introduce a first-order quantum programming language, named FOQ, whose terminating programs are reversible. We restrict FOQ to a strict and tractable subset, named PFOQ, of terminating programs with bounded width, that provides a first programming...
Boltzmann distributions on a quantum computer via active cooling
Carter Ball, T. Cohen·Dec 13, 2022
Quantum computing raises the possibility of solving a variety of problems in physics that are presently intractable. A number of such problems involves the physics of systems in or near thermal equilibrium. There are two main ways to compute thermal ...
Category Theory for Quantum Natural Language Processing
Alexis Toumi·Dec 13, 2022
This thesis introduces quantum natural language processing (QNLP) models based on a simple yet powerful analogy between computational linguistics and quantum mechanics: grammar as entanglement. The grammatical structure of text and sentences connects...
High-Threshold Quantum Computing by Fusing One-Dimensional Cluster States.
S. Paesani, Benjamin J. Brown·Dec 13, 2022
We propose a measurement-based model for fault-tolerant quantum computation that can be realized with one-dimensional cluster states and fusion measurements only; basic resources that are readily available with scalable photonic hardware. Our simulat...
Interaction graph-based characterization of quantum benchmarks for improving quantum circuit mapping techniques
Medina Bandi'c, C. G. Almudéver, Sebastian Feld·Dec 13, 2022
To execute quantum circuits on a quantum processor, they must be modified to meet the physical constraints of the quantum device. This process, called quantum circuit mapping , results in a gate/circuit depth overhead that depends on both the circuit...
Finite-round quantum error correction on symmetric quantum sensors
Yingkai Ouyang, Gavin K. Brennen·Dec 12, 2022
In quantum sensing using $N$ entangled probes, the variance of the estimated signal strength $\hatθ$ scales like $ Θ(N^{-2})$ at the Heisenberg limit, which is a quadratic improvement over the standard quantum limit, and is the maximum quantum advant...