Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Bridging the reality gap in quantum devices with physics-aware machine learning
D. L. Craig, H. Moon, F. Fedele +9 more·Nov 22, 2021
The discrepancies between reality and simulation impede the optimisation and scalability of solid-state quantum devices. Disorder induced by the unpredictable distribution of material defects is one of the major contributions to the reality gap. We b...
Dimensional Expressivity Analysis, best-approximation errors, and automated design of parametric quantum circuits
L. Funcke, T. Hartung, K. Jansen +3 more·Nov 22, 2021
The design of parametric quantum circuits (PQCs) for efficient use in variational quantum simulations (VQS) is subject to two competing factors. On one hand, the set of states that can be generated by the PQC has to be large enough to contain the sol...
Analysis of Carlemann Linearization of Lattice Boltzmann
Wael Itani, S. Succi·Nov 22, 2021
We explore the Carlemann linearization of the collision term of the lattice Boltzmann formulation, as a first step towards formulating a quantum lattice Boltzmann algorithm. Specifically, we deal with the case of a single, incompressible fluid with t...
Quanto: optimizing quantum circuits with automatic generation of circuit identities
Jessica Pointing, Oded Padon, Zhihao Jia +4 more·Nov 22, 2021
Existing quantum compilers focus on mapping a logical quantum circuit to a quantum device and its native quantum gates. Only simple circuit identities are used to optimize the quantum circuit during the compilation process. This approach misses more ...
Qimaera: Type-safe (Variational) Quantum Programming in Idris
Liliane-Joy Dandy, E. Jeandel, V. Zamdzhiev·Nov 21, 2021
Variational Quantum Algorithms are hybrid classical-quantum algorithms where classical and quantum computation work in tandem to solve computational problems. These algorithms create interesting challenges for the design of suitable programming langu...
High robustness quantum walk search algorithm with qudit Householder traversing coin, machine learning study
Hristo Tonchev, Petar Danev·Nov 21, 2021
In this work the quantum random walk search algorithm with walk coin constructed by generalized Householder reflection and phase multiplier has been studied. The coin register is one qudit with arbitrary dimension. Monte Carlo simulations, in combina...
Flying electron spin control gates
Paul L. J. Helgers, J. Stotz, H. Sanada +3 more·Nov 21, 2021
The control of "flying” (or moving) spin qubits is an important functionality for the manipulation and exchange of quantum information between remote locations on a chip. Typically, gates based on electric or magnetic fields provide the necessary per...
Tight bound for estimating expectation values from a system of linear equations
Abhijeet Alase, Robert Nerem, Mohsen Bagherimehrab +2 more·Nov 20, 2021
The System of Linear Equations Problem (SLEP) is specified by a complex invertible matrix A , the condition number κ of A , a vector b , a Hermitian matrix M and an accuracy ǫ , and the task is to estimate x † M x , where x is the solution vector to t...
Monolithic Three-Dimensional Tuning of an Atomically Defined Silicon Tunnel Junction.
M. Donnelly, J. Keizer, Y. Chung +1 more·Nov 19, 2021
A requirement for quantum information processors is the in situ tunability of the tunnel rates and the exchange interaction energy within the device. The large energy level separation for atom qubits in silicon is well suited for qubit operation but ...
Computing graph edit distance on quantum devices
Massimiliano Incudini, Fabio Tarocco, R. Mengoni +2 more·Nov 19, 2021
Distance measures provide the foundation for many popular algorithms in Machine Learning and Pattern Recognition. Different notions of distance can be used depending on the types of the data the algorithm is working on. For graph-shaped data, an impo...
On the application of Sylvester's law of inertia to QUBO formulations for systems of linear equations
S. Park, Kyungtaek Jun·Nov 19, 2021
Previous research on quantum annealing methods focused on effectively modeling systems of linear equations by utilizing quadratic unconstrained binary optimization (QUBO) formulations. These studies take part in enhancing quantum computing algorithms...
Simulation of quantum physics with Tensor Processing Units: brute-force computation of ground states and time evolution
M. Hauru, A. Morningstar, J. Beall +3 more·Nov 19, 2021
Tensor Processing Units (TPUs) were developed by Google exclusively to support large-scale machine learning tasks. TPUs can, however, also be used to accelerate and scale up other computationally demanding tasks. In this paper we repurpose TPUs for t...
The acrobatics of BQP
S. Aaronson, DeVon Ingram, William Kretschmer·Nov 19, 2021
One can fix the randomness used by a randomized algorithm, but there is no analogous notion of fixing the quantumness used by a quantum algorithm. Underscoring this fundamental difference, we show that, in the black-box setting, the behavior of quant...
Non-Gaussian entanglement swapping between three-mode spontaneous parametric down-conversion and three qubits
A. Casado, C. Sab'in·Nov 19, 2021
In this work we study the production and swapping of non-gaussian multipartite entanglement in a setup containing a parametric amplifier which generates three photons in different modes coupled to three qubits. We prove that the entanglement generate...
Some error analysis for the quantum phase estimation algorithms
Xiantao Li·Nov 19, 2021
This paper is concerned with the phase estimation algorithm in quantum computing, especially the scenarios where (1) the input vector is not an eigenvector; (2) the unitary operator is approximated by Trotter or Taylor expansion methods; (3) random a...
Energy Landscape Structure of Small Graph Isomorphism Under Variational Optimization
Turbasu Chatterjee, Shah Ishmam Mohtashim, Akash Kundu·Nov 18, 2021
We investigate a quadratic unconstrained binary optimization (QUBO) formulation of the graph isomorphism problem using the Quantum Approximate Optimization Algorithm (QAOA) and the Variational Quantum Eigensolver (VQE). For small graph instances, we ...
Robust quantum-network memory based on spin qubits in isotopically engineered diamond
C. Bradley, S. D. Bone, P. Møller +9 more·Nov 18, 2021
Quantum networks can enable quantum communication and modular quantum computation. A powerful approach is to use multi-qubit nodes that provide quantum memory and computational power. Nuclear spins associated with defects in diamond are promising qub...
Error-mitigated deep-circuit quantum simulation of open systems: Steady state and relaxation rate problems
Anbang Wang, Jingning Zhang, Ying Li·Nov 18, 2021
Deep-circuit quantum computation, like Shor's algorithm, is undermined by error accumulation, and near-future quantum techniques are far from adequate for full-fledged quantum error correction. Instead of resorting to shallow-circuit quantum algorith...
Near-optimal Quantum algorithms for multivariate mean estimation
A. Cornelissen, Yassine Hamoudi, S. Jerbi·Nov 18, 2021
We propose the first near-optimal quantum algorithm for estimating in Euclidean norm the mean of a vector-valued random variable with finite mean and covariance. Our result aims at extending the theory of multivariate sub-Gaussian estimators [Lugosi ...
A Quantum Algorithm for the Sub-graph Isomorphism Problem
Nicola Mariella, Andrea Simonetto·Nov 18, 2021
We propose a novel variational method for solving the sub-graph isomorphism problem on a gate-based quantum computer. The method relies (1) on a new representation of the adjacency matrices of the underlying graphs, which requires a number of qubits ...