Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
On the Construction of a Quantum Channel Corresponding to Non-commutative Graph for a Qubit Interacting with Quantum Oscillator
G. Amosov, A. S. Mokeev, A. N. Pechen·Oct 1, 2021
We consider error correction, based on the theory of non-commutative graphs, for a model of a qubit interacting with quantum oscillator. The dynamics of the composite system is governed by the Schrödinger equation which generates positive operator-va...
Pseudo Quantum Random Number Generator with Quantum Permutation Pad
Randy Kuang, Dafu Lou, Alex He +2 more·Oct 1, 2021
Cryptographic random number generation is critical for any quantum-safe encryption. Based on the natural uncertainty of some quantum processes, a variety of quantum random number generators, or QRNGs, have been created with physical quantum processes...
qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package
J. Teske, H. Bluhm·Oct 1, 2021
Realistic modelling of qubit systems including noise and constraints imposed by control hardware is required for performance prediction and control optimization of quantum processors. We introduce qopt, a software framework for simulating qubit dynam...
Parity measurement in the strong dispersive regime of circuit quantum acoustodynamics
Uwe von Lüpke, Yu Yang, Marius Bild +3 more·Oct 1, 2021
Mechanical resonators are emerging as an important new platform for quantum science and technologies. A large number of proposals for using them to store, process and transduce quantum information motivates the development of increasingly sophisticat...
Nuwa: A Quantum Circuit Transpiler Based on a Finite-Horizon Heuristic for Placement and Routing
Sheng Ren, Ka-Wai Chen, Navid Ghadermarzy +3 more·Oct 1, 2021
We introduce a novel transpiler for the placement and routing of quantum circuits on arbitrary target hardware architectures. We use finite-horizon, and optionally discounted, reward functions to heuristically find a suitable placement and routing poli...
Development and Training of Quantum Neural Networks, Based on the Principles of Grover's Algorithm
C. B. Pronin, A. Ostroukh·Oct 1, 2021
This paper highlights the possibility of creating quantum neural networks that are trained by Grover's Search Algorithm. The purpose of this work is to propose the concept of combining the training process of a neural network, which is performed on t...
Adapting Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment
S. Koretsky, P. Gokhale, Jonathan M. Baker +8 more·Oct 1, 2021
In the present Noisy Intermediate-Scale Quantum (NISQ), hybrid algorithms that leverage classical resources to reduce quantum costs are particularly appealing. We formulate and apply such a hybrid quantum-classical algorithm to a power system optimiz...
Spin-wave quantum computing with atoms in a single-mode cavity
K. Cox, P. Bienias, D. H. Meyer +3 more·Sep 30, 2021
We present a method for network-capable quantum computing that relies on holographic spin-wave excitations stored collectively in ensembles of qubits. We construct an orthogonal basis of spin waves in a one-dimensional array and show that high-fidelit...
Toward the real-time evolution of gauge-invariant <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi mathvariant="double-struck">Z</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline
Emilie Huffman, Miguel García Vera, D. Banerjee·Sep 30, 2021
Practical quantum computing holds clear promise in addressing problems not generally tractable with classical simulation techniques, and some key physically interesting applications are those of real-time dynamics in strongly coupled lattice gauge th...
Divide-and-conquer verification method for noisy intermediate-scale quantum computation
Yuki Takeuchi, Y. Takahashi, T. Morimae +1 more·Sep 30, 2021
<jats:p>Several noisy intermediate-scale quantum computations can be regarded as logarithmic-depth quantum circuits on a sparse quantum computing chip, where two-qubit gates can be directly applied on only some pairs of qubits. In this paper, we prop...
Gaussian Elimination versus Greedy Methods for the Synthesis of Linear Reversible Circuits
T. Brugière, M. Baboulin, Benoît Valiron +2 more·Sep 30, 2021
Linear reversible circuits represent a subclass of reversible circuits with many applications in quantum computing. These circuits can be efficiently simulated by classical computers and their size is polynomially bounded by the number of qubits, mak...
Universal quantum algorithmic cooling on a quantum computer
Pei Zeng, Jinzhao Sun, Xiao Yuan·Sep 30, 2021
Quantum cooling, a deterministic process that drives any state to the lowest eigenstate, has been widely used from studying ground state properties of chemistry and condensed matter quantum physics, to general optimization problems. However, the cool...
Improved quantum lower and upper bounds for matrix scaling
S. Gribling, Harold Nieuwboer·Sep 30, 2021
Matrix scaling is a simple to state, yet widely applicable linear-algebraic problem: the goal is to scale the rows and columns of a given non-negative matrix such that the rescaled matrix has prescribed row and column sums. Motivated by recent result...
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits
Chiara Leadbeater, Louis Sharrock, Brian Coyle +1 more·Sep 30, 2021
Generative modelling is an important unsupervised task in machine learning. In this work, we study a hybrid quantum-classical approach to this task, based on the use of a quantum circuit born machine. In particular, we consider training a quantum cir...
Benchmarking a Probabilistic Coprocessor
J. Kaiser, Risi Jaiswal, B. Behin-Aein +1 more·Sep 30, 2021
Computation in the past decades has been driven by deterministic computers based on classical deterministic bits. Recently, alternative computing paradigms and domain-based computing like quantum computing and probabilistic computing have gained trac...
Sampling quantum states with inequality constraints
Weijun Li, Rui Han, Jiangwei Shang +2 more·Sep 29, 2021
Random samples of quantum states with specific properties are useful for various applications, such as Monte Carlo integration over the state space. In the high-dimensional situations that one encounters already for a few qubits, the quantum state sp...
Mitigating errors by quantum verification and postselection
R. Mezher, James Mills, E. Kashefi·Sep 29, 2021
Correcting errors due to noise in quantum circuits run on current and near-term quantum hardware is essential for any convincing demonstration of quantum advantage. Indeed, in many cases it has been shown that noise renders quantum circuits efficient...
Gottesman-Kitaev-Preskill codes: A lattice perspective
J. Conrad, Jens Eisert, F. Arzani·Sep 29, 2021
We examine general Gottesman-Kitaev-Preskill (GKP) codes for continuous-variable quantum error correction, including concatenated GKP codes, through the lens of lattice theory, in order to better understand the structure of this class of stabilizer c...
Constant-overhead quantum error correction with thin planar connectivity
Maxime Tremblay, Nicolas Delfosse, M. Beverland·Sep 29, 2021
Quantum low density parity check (LDPC) codes may provide a path to build low-overhead fault-tolerant quantum computers. However, as general LDPC codes lack geometric constraints, naïve layouts couple many distant qubits with crossing connections whi...
Geometry and causal flux in multi-loop Feynman diagrams
G. Sborlini·Sep 29, 2021
In this review, we discuss recent developments concerning efficient calculations of multi-loop multi-leg scattering amplitudes. Inspired by the remarkable properties of the Loop-Tree Duality (LTD), we explain how to reconstruct an integrand level rep...