Papers
Live trends in quantum computing research, updated daily from arXiv.
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15,531 papers in 12 months (-3% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Universal Statistical Simulator
M. Carney, B. Varcoe·Feb 3, 2022
The Quantum Fourier Transform is a famous example in quantum computing for being the first demonstration of a useful algorithm in which a quantum computer is exponentially faster than a classical computer. However when giving an explanation of the sp...
From quantum speed limits to energy-efficient quantum gates
Maxwell Aifer, Sebastian Deffner·Feb 3, 2022
While recent breakthroughs in quantum computing promise the nascence of the quantum information age, quantum states remain delicate to control. Moreover, the required energy budget for large scale quantum applications has only sparely been considered...
DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic
M. Jokar, Rich Rines, G. Pasandi +5 more·Feb 3, 2022
The control of cryogenic qubits in today’s super-conducting quantum computer prototypes presents significant scalability challenges due to the massive costs of generating/routing the analog control signals that need to be sent from a classical contro...
An Empirical Review of Optimization Techniques for Quantum Variational Circuits
Owen Lockwood·Feb 3, 2022
Quantum Variational Circuits (QVCs) are often claimed as one of the most potent uses of both near term and long term quantum hardware. The standard approaches to optimizing these circuits rely on a classical system to compute the new parameters at ev...
Improved quantum algorithms for linear and nonlinear differential equations
Hari Krovi·Feb 2, 2022
We present substantially generalized and improved quantum algorithms over prior work for inhomogeneous linear and nonlinear ordinary differential equations (ODE). Specifically, we show how the norm of the matrix exponential characterizes the run time...
Kernel function based quantum algorithms for finite temperature quantum simulation
H. Wang, J. Nan, Tao Zhang +3 more·Feb 2, 2022
Computing finite temperature properties of a quantum many-body system is key to describing a broad range of correlated quantum many-body physics from quantum chemistry and condensed matter to thermal quantum field theories. Quantum computing with rap...
Tweezer-programmable 2D quantum walks in a Hubbard-regime lattice
A. Young, William J. Eckner, N. Schine +2 more·Feb 2, 2022
Quantum walks provide a framework for designing quantum algorithms that is both intuitive and universal. To leverage the computational power of these walks, it is important to be able to programmably modify the graph a walker traverses while maintain...
Hybrid Quantum-Classical Algorithm for Hydrodynamics
Julien Zylberman, G. Molfetta, M. Brachet +2 more·Feb 2, 2022
A new model of nonlinear charged quantum relativistic fluids is presented. This model can be discretized into Discrete Time Quantum Walks (DTQWs), and a new hybrid (quantum-classical) algorithm for implementing these walks on NISQ devices is proposed...
Realization of Fast All-Microwave Controlled-Z Gates with a Tunable Coupler
Shaowei Li, D. Fan, M. Gong +29 more·Feb 1, 2022
The development of high-fidelity two-qubit quantum gates is essential for digital quantum computing. Here, we propose and realize an all-microwave parametric controlled-Z (CZ) gates by coupling strength modulation in a superconducting Transmon qubit ...
Characterizing the Reproducibility of Noisy Quantum Circuits
S. Dasgupta, T. Humble·Feb 1, 2022
The ability of a quantum computer to reproduce or replicate the results of a quantum circuit is a key concern for verifying and validating applications of quantum computing. Statistical variations in circuit outcomes that arise from ill-characterized...
Quantum annealing learning search implementations
A. Bonomi, Thomas De Min, Enrico Zardini +3 more·Feb 1, 2022
This paper presents the details and testing of two implementations (in C++ and Python) of the hybrid quantum-classical algorithm Quantum Annealing Learning Search (QALS) on a D-Wave quantum annealer. QALS was proposed in 2019 as a novel technique to ...
Quantum circuit debugging and sensitivity analysis via local inversions
Fernando A. Calderon-Vargas, T. Proctor, K. Rudinger +1 more·Feb 1, 2022
As the width and depth of quantum circuits implemented by state-of-the-art quantum processors rapidly increase, circuit analysis and assessment via classical simulation are becoming unfeasible. It is crucial, therefore, to develop new methods to iden...
Identifying Pauli spin blockade using deep learning
Jonas Schuff, D. Lennon, S. Geyer +9 more·Feb 1, 2022
Pauli spin blockade (PSB) can be employed as a great resource for spin qubit initialisation and readout even at elevated temperatures but it can be difficult to identify. We present a machine learning algorithm capable of automatically identifying PS...
Quantum search on noisy intermediate-scale quantum devices
K. Zhang, Kai Yu, V. Korepin·Jan 31, 2022
Quantum search algorithm (also known as Grover's algorithm) lays the foundation for many other quantum algorithms. Although it is very simple, its implementation is limited on noisy intermediate-scale quantum (NISQ) processors. Grover's algorithm was...
Quantum thermodynamic methods to purify a qubit on a quantum processing unit
Andrea Solfanelli, Alessandro Santini, M. Campisi·Jan 31, 2022
We report on a quantum thermodynamic method to purify a qubit on a quantum processing unit (QPU) equipped with (nearly) identical qubits. Our starting point is a three qubit design that emulates the well-known two qubit swap engine. Similar to standa...
Latency considerations for stochastic optimizers in variational quantum algorithms
M. Menickelly, Yunsoo Ha, M. Otten·Jan 31, 2022
Variational quantum algorithms, which have risen to prominence in the noisy intermediate-scale quantum setting, require the implementation of a stochastic optimizer on classical hardware. To date, most research has employed algorithms based on the st...
Quantum machine learning with subspace states
Iordanis Kerenidis, A. Prakash·Jan 31, 2022
We introduce a new approach for quantum linear algebra based on quantum subspace states and present three new quantum machine learning algorithms. The first is a quantum determinant sampling algorithm that samples from the distribution $\Pr[S]= det(X...
Quantum algorithms for Schrieffer-Wolff transformation
Zongkang Zhang, Yongdan Yang, Xiaosi Xu +1 more·Jan 31, 2022
The Schrieffer-Wolff transformation aims to solve degenerate perturbation problems and give an effective Hamiltonian that describes the low-energy dynamics of the exact Hamiltonian in the low-energy subspace of unperturbed Hamiltonian. This unitary t...
Graph Set-colorings And Hypergraphs In Topological Coding
B. Yao, Fei Ma·Jan 31, 2022
In order to make more complex number-based strings from topological coding for defending against the intelligent attacks equipped with quantum computing and providing effective protection technology for the age of quantum computing, we will introduce...
Finite-Size Scaling on a Digital Quantum Simulator Using Quantum Restricted Boltzmann Machine
B. Khalid, Shree Hari Sureshbabu, A. Banerjee +1 more·Jan 31, 2022
The critical point and the critical exponents for a phase transition can be determined using the Finite-Size Scaling (FSS) analysis. This method assumes that the phase transition occurs only in the infinite size limit. However, there has been a lot o...