Papers
Live trends in quantum computing research, updated daily from arXiv.
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31,411
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Research Volume
15,541 papers in 12 months (-3% vs prior quarter)
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Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Programming Quantum Hardware via Levenberg Marquardt Machine Learning
J. Steck, Nathan L. Thompson, E. Behrman·Apr 14, 2022
—We present an improved method for quantum machine learning, using a modified Levenberg-Marquardt (LM) method. The LM method is a powerful hybrid reinforcement learning technique ideally suited to quantum machine learning as it only requires knowledg...
NEQRX: Efficient Quantum Image Encryption with Reduced Circuit Complexity
Rakesh Saini, B. K. Behera, S. Al-kuwari +1 more·Apr 14, 2022
Cryptography plays an important role in ensuring data security and authentication within information processing systems. As the prevalence of digital imagery continues to grow, safeguarding this form of data becomes increasingly crucial. However, exi...
Clifford Circuits can be Properly PAC Learned if and only if RP=NP
Daniel Liang·Apr 13, 2022
Given a dataset of input states, measurements, and probabilities, is it possible to efficiently predict the measurement probabilities associated with a quantum circuit? Recent work of Caro and Datta \cite{2020Caro} studied the problem of PAC learning...
An End-to-End Analysis of EMFI on Bit-sliced Post-Quantum Implementations
Richa Singh, Saad Islam, B. Sunar +1 more·Apr 13, 2022
Bit-slicing is a software implementation technique that treats an N-bit processor datapath as N parallel single-bit datapaths. The natural spatial redundancy of bit-sliced software can be used to build countermeasures against implementation attacks. ...
Quantum clustering and jet reconstruction at the LHC
Jorge J. Martínez de Lejarza, L. Cieri, G. Rodrigo·Apr 13, 2022
Clustering is one of the most frequent problems in many domains, in particular, in particle physics where jet reconstruction is central in experimental analyses. Jet clustering at the CERN's Large Hadron Collider (LHC) is computationally expensive an...
Automated Atomic Silicon Quantum Dot Circuit Design via Deep Reinforcement Learning
Robert Lupoiu, S. Ng, Jonathan A. Fan +1 more·Apr 13, 2022
Robust automated design tools are crucial for the proliferation of any computing technology. We introduce the first automated design tool for the silicon dangling bond quantum dot computing technology, which is an extremely versatile and flexible sin...
Optimal resource allocation for flexible-grid entanglement distribution networks.
J. Alnas, M. Alshowkan, N. Rao +2 more·Apr 13, 2022
We use a genetic algorithm (GA) as a design aid for determining the optimal provisioning of entangled photon spectrum in flex-grid quantum networks with arbitrary numbers of channels and users. After introducing a general model for entanglement distr...
A quantum generative model for multi-dimensional time series using Hamiltonian learning
H. Horowitz, Pooja S B. Rao, Santosh Kumar Radha·Apr 13, 2022
Synthetic data generation has proven to be a promising solution for addressing data availability issues in various domains. Even more challenging is the generation of synthetic time series data, where one has to preserve temporal dynamics, i.e. , the...
Ground state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices
Yulong Dong, Lin Lin, Yu Tong·Apr 12, 2022
Under suitable assumptions, the algorithms in [Lin, Tong, Quantum 2020] can estimate the ground state energy and prepare the ground state of a quantum Hamiltonian with near-optimal query complexities. However, this is based on a block encoding input ...
Hybrid quantum-classical heuristic for the bin packing problem
Mikel Garcia de Andoin, E. Osaba, I. Oregi +2 more·Apr 12, 2022
Optimization problems is one of the most challenging applications of quantum computers, as well as one of the most relevants. As a consequence, it has attracted huge efforts to obtain a speedup over classical algorithms using quantum resources. Up to...
Binary Control Pulse Optimization for Quantum Systems
Xinyu Fei, L. Brady, Jeffrey Larson +2 more·Apr 12, 2022
Quantum control aims to manipulate quantum systems toward specific quantum states or desired operations. Designing highly accurate and effective control steps is vitally important to various quantum applications, including energy minimization and cir...
Statistical analysis on random quantum circuit sampling by Sycamore and Zuchongzhi quantum processors
Sangchul Oh, S. Kais·Apr 12, 2022
Random quantum sampling, a task to sample bit-strings from a random quantum circuit, is considered one of suitable benchmark tasks to demonstrate the outperformance of quantum computers even with noisy qubits. Recently, random quantum sampling was pe...
Characterizing Error Mitigation by Symmetry Verification in QAOA
Ashish Kakkar, Jeffrey Larson, A. Galda +1 more·Apr 12, 2022
Hardware errors are a major obstacle to demonstrating quantum advantage with the quantum approximate optimization algorithm (QAOA). Recently, symmetry verification has been proposed and empirically demonstrated to boost the quantum state fidelity, th...
Expressivity of Variational Quantum Machine Learning on the Boolean Cube
Dylan Herman, Rudy Raymond, Muyuan Li +3 more·Apr 11, 2022
Categorical data play an important part in machine learning research and appears in a variety of applications. Models that can express large classes of real-valued functions on the Boolean cube are useful for problems involving discrete-valued data t...
General Hamiltonian Representation of ML Detection Relying on the Quantum Approximate Optimization Algorithm
Jingjing Cui, G. Long, L. Hanzo·Apr 11, 2022
The quantum approximate optimization algorithm (QAOA) conceived for solving combinatorial optimization problems has attracted significant interest since it can be run on the existing noisy intermediate-scale quantum (NISQ) devices. A primary step of ...
Experimentally Finding Dense Subgraphs Using a Time-Bin Encoded Gaussian Boson Sampling Device
S. Sempere-Llagostera, R. Patel, I. Walmsley +1 more·Apr 11, 2022
Gaussian boson sampling (GBS) is a quantum computing concept based on drawing samples from a multimode nonclassical Gaussian state using photon-number resolving detectors. It was initially posed as a near-term approach to achieve quantum advantage, a...
Perfect Photon Indistinguishability from a Set of Dissipative Quantum Emitters
J. Guimbao, L. Sanchis, L. Weituschat +2 more·Apr 11, 2022
Single photon sources (SPS) based on semiconductor quantum dot (QD) platforms are restricted to low temperature (T) operation due to the presence of strong dephasing processes. Although the integration of QD in optical cavities provides an enhancemen...
Quantum Fault Trees
Gabriel San Martín Silva, Tarannom Parhizkar, E. Droguett·Apr 10, 2022
: Fault tree analysis is a technique widely used in risk and reliability analysis of complex engineering systems given its deductive nature and relatively simple interpretation. In a fault tree, events are usually represented by a binary variable tha...
The spin-one Motzkin chain is gapped for any area weight $t<1$
Radu Andrei, Marius Lemm, Ramis Movassagh·Apr 9, 2022
We consider the spin-one Motzkin chain with area weight $t>0$. We resolve three questions from the literature about this model. We prove (i) existence of a uniform spectral gap for all $t<1$ as conjectured by Zhang--Ahmadein--Klich \cite{zhang2017nov...
QuiKo: A Quantum Beat Generation Application
Scott Oshiro·Apr 9, 2022
Artificial intelligent (AI) music generation systems have been exciting developments in machine and deep learning, but are limited to the data set(s) that they are fed. As a result, these systems lack a sense of organicness, or intuition, in their re...