Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Direct estimation of minimum gate fidelity
Yiping Lu, J. Sim, J. Suzuki +2 more·Apr 6, 2020
With the current interest in building quantum computers, there is a strong need for accurate and efficient characterization of the noise in quantum gate implementations. A key measure of the performance of a quantum gate is the minimum gate fidelity,...
Classical Optimizers for Noisy Intermediate-Scale Quantum Devices
W. Lavrijsen, Ana Tudor, Juliane Müller +2 more·Apr 6, 2020
We present a collection of optimizers tuned for usage on Noisy Intermediate-Scale Quantum (NISQ) devices. Optimizers have a range of applications in quantum computing, including the Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimi...
Implementation of Geometric Quantum Gates on Microwave‐Driven Semiconductor Charge Qubits
Chengxian Zhang, Tao Chen, Xin Wang +1 more·Apr 1, 2020
A semiconductor‐based charge qubit, confined in double quantum dots, can be a platform to implement quantum computing. However, it suffers severely from charge noises. Here, a theoretical framework to implement universal geometric quantum gates in th...
Small quantum computers and large classical data sets
A. Harrow·Mar 31, 2020
We introduce hybrid classical-quantum algorithms for problems involving a large classical data set X and a space of models Y such that a quantum computer has superposition access to Y but not X. These algorithms use data reduction techniques to const...
Solving Large‐Scale Linear Systems of Equations by a Quantum Hybrid Algorithm
M. Perelshtein, A. Pakhomchik, A. Melnikov +5 more·Mar 28, 2020
Today's intermediate‐scale quantum computers, although imperfect, already perform computational tasks that are manifestly beyond the capabilities of modern classical supercomputers. However, so far, quantum‐enabled large‐scale solutions have been rea...
A Hybrid Quantum-Classical Approach to Mitigating Measurement Errors in Quantum Algorithms
Hyeokjea Kwon, J. Bae·Mar 27, 2020
When noisy intermediate scalable quantum (NISQ) devices are applied in information processing, all of the stages through preparation, manipulation, and measurement of multipartite qubit states contain various types of noise that are generally hard to...
A Phononic Bus for Coherent Interfaces Between a Superconducting Quantum Processor, Spin Memory, and Photonic Quantum Networks
T. Neuman, M. Eichenfield, Matthew E. Trusheim +3 more·Mar 18, 2020
We introduce a method for high-fidelity quantum state transduction between a superconducting microwave qubit and the ground state spin system of a solid-state artificial atom, mediated via an acoustic bus connected by piezoelectric transducers. Appli...
Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA
Christoph Roch, Alexander Impertro, Thomy Phan +3 more·Mar 11, 2020
Hybrid quantum-classical algorithms such as the Quantum Approximate Optimization Algorithm (QAOA) are considered as one of the most encouraging approaches for taking advantage of near-term quantum computers in practical applications. Such algorithms ...
Circuit design for clique problem and its implementation on quantum computer
Arpita Sanyal, A. Saha, Banani Saha +1 more·Mar 10, 2020
Finding cliques in a graph has several applications for its pattern matching ability. $k$-clique problem, a special case of clique problem, determines whether an arbitrary graph contains a clique of size $k$, has already been addressed in quantum dom...
Gutzwiller hybrid quantum-classical computing approach for correlated materials
Yongxin Yao, Feng Zhang, Caizhuang Wang +2 more·Mar 9, 2020
Rapid progress in noisy intermediate-scale quantum (NISQ) computing technology has led to the development of novel resource-efficient hybrid quantum-classical algorithms, such as the variational quantum eigensolver (VQE), that can address open challe...
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
·Mar 6, 2020
We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of hybrid quantum-classical models for classical or quantum data. This framework offers high-level abstractions for the design and training of both discriminative...
Considerations for evaluating thermodynamic properties with hybrid quantum-classical computing work flows
Spencer T. Stober, Stuart M. Harwood, Dimitar Trenev +3 more·Mar 4, 2020
Quantum chemistry applications on quantum computers currently rely heavily on the variational quantum eigensolver (VQE) algorithm. This hybrid quantum-classical algorithm aims at finding ground state solutions of molecular systems based on the variat...
AccQOC: Accelerating Quantum Optimal Control Based Pulse Generation
Jinglei Cheng, Haoqing Deng, Xuehai Qian·Mar 1, 2020
In the last decades, we have witnessed the rapid growth of Quantum Computing. In the current Noisy Intermediate-Scale Quantum (NISQ) era, the capability of a quantum machine is limited by the decoherence time, gate fidelity and the number of Qubits. ...
Near-optimal ground state preparation
Lin Lin, Yu Tong·Feb 28, 2020
Preparing the ground state of a given Hamiltonian and estimating its ground energy are important but computationally hard tasks. However, given some additional information, these problems can be solved efficiently on a quantum computer. We assume tha...
Digital quantum simulation of molecular dynamics and control
Alicia B. Magann, Matthew D. Grace, H. Rabitz +1 more·Feb 28, 2020
Optimally-shaped electromagnetic fields have the capacity to coherently control the dynamics of quantum systems, and thus offer a promising means for controlling molecular transformations relevant to chemical, biological, and materials applications. ...
A Quantum Money Solution to the Blockchain Scalability Problem
Andrea Coladangelo, Or Sattath·Feb 27, 2020
We put forward the idea that classical blockchains and smart contracts are potentially useful primitives not only for classical cryptography, but for quantum cryptography as well. Abstractly, a smart contract is a functionality that allows parties to...
Is all-electrical silicon quantum computing feasible in the long term?
E. Ferraro, E. Prati·Feb 25, 2020
Abstract The development of the first generation of commercial quantum computers is based on superconductive qubits and trapped ions respectively. Other technologies such as semiconductor quantum dots, neutral ions and photons could in principle prov...
Policy Gradient based Quantum Approximate Optimization Algorithm
Jiahao Yao, Marin Bukov, Lin Lin·Feb 4, 2020
The quantum approximate optimization algorithm (QAOA), as a hybrid quantum/classical algorithm, has received much interest recently. QAOA can also be viewed as a variational ansatz for quantum control. However, its direct application to emergent quan...
Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm
Utkarsh Azad, B. K. Behera, Emad A. Ahmed +2 more·Feb 2, 2020
Intelligent transportation systems (ITS) are a critical component of Industry 4.0 and 5.0, particularly having applications in logistic management. One of their crucial utilization is in supply-chain management and scheduling for optimally routing tr...
A hybrid quantum enabled RBM advantage: convolutional autoencoders for quantum image compression and generative learning
Jennifer Sleeman, J. Dorband, M. Halem·Jan 31, 2020
Understanding how the D-Wave quantum computer could be used for machine learning problems is of growing interest. Our work explores the feasibility of using the D-Wave as a sampler for a machine learning task. We describe a hybrid method that combine...