Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum Computation for Pricing Caps using the LIBOR Market Model
Hao Tang, Wensheng Wu, Xian-min Jin·Jul 4, 2022
The LIBOR Market Model (LMM) is a widely used model for pricing interest rate derivatives. While the Black-Scholes model is well-known for pricing stock derivatives such as stock options, a larger portion of derivatives are based on interest rates in...
Virtual linear map algorithm for classical boost in near-term quantum computing
Guillermo Garc'ia-P'erez, Elsi-Mari Borrelli, Matea Leahy +5 more·Jul 4, 2022
, The rapid progress in quantum computing witnessed in recent years has sparked widespread interest in developing scalable quantum information theoretic methods to work with large quantum systems. For instance, several approaches have been proposed t...
Lower bounds for adiabatic quantum algorithms by quantum speed limits
Jyong-Hao Chen·Jul 4, 2022
We introduce a simple framework for estimating lower bounds on the runtime of a broad class of adiabatic quantum algorithms. The central formula consists of calculating the variance of the final Hamiltonian with respect to the initial state. After ex...
Reproducibility and control of superconducting flux qubits
T. Chang, I. Holzman, T. Cohen +3 more·Jul 4, 2022
Superconducting flux qubits are promising candidates for the physical realization of a scalable quantum processor. Indeed, these circuits may have both a small decoherence rate and a large anharmonicity. These properties enable the application of fas...
Pricing Multiasset Derivatives by Variational Quantum Algorithms
Kenji Kubo, Koichi Miyamoto, K. Mitarai +1 more·Jul 4, 2022
Pricing a multiasset derivative is an important problem in financial engineering, both theoretically and practically. Although it is suitable to numerically solve partial differential equations to calculate the prices of certain types of derivatives,...
Long-distance coupling of spin qubits via topological magnons
Bence Het'enyi, A. Mook, J. Klinovaja +1 more·Jul 4, 2022
We consider two distant spin qubits in quantum dots, both coupled to a two-dimensional topological ferromagnet hosting chiral magnon edge states at the boundary. The chiral magnon is used to mediate entanglement between the spin qubits, realizing a f...
Clifford Circuit Initialisation for Variational Quantum Algorithms
M. Cheng, K. Khosla, C. Self +4 more·Jul 4, 2022
We present an initialisation method for variational quantum algorithms applicable to intermediate scale quantum computers. The method uses simulated annealing of the efficiently simulable Clifford parameter points as a pre-optimisation to find a low ener...
Preparations for Quantum Simulations of Quantum Chromodynamics in 1+1 Dimensions: (I) Axial Gauge
R. Farrell, I. Chernyshev, Sarah J. M. Powell +3 more·Jul 4, 2022
Tools necessary for quantum simulations of $1+1$ dimensional quantum chromodynamics are developed. When formulated in axial gauge and with two flavors of quarks, this system requires 12 qubits per spatial site with the gauge fields included via non-l...
Nonperturbative simple-generated interactions with a quantum field for arbitrary Gaussian states
Erickson Tjoa·Jul 3, 2022
In this work we first collect and generalize several existing non-perturbative models for the interaction between a single two-level qubit detector and a relativistic quantum scalar field in arbitrary curved spacetimes, where the time evolution is gi...
ScaleQC: A Scalable Framework for Hybrid Computation on Quantum and Classical Processors
Wei Tang, M. Martonosi·Jul 3, 2022
Quantum processing unit (QPU) has to satisfy highly demanding quantity and quality requirements on its qubits to produce accurate results for problems at useful scales. Fur-thermore, classical simulations of quantum circuits generally do not scale. I...
Measurements of Floquet code plaquette stabilizers
James R. Wootton·Jul 1, 2022
The recently introduced Floquet codes have already inspired several follow up works in terms of theory and simulation. Here we report the first preliminary results on their experimental implementation, using IBM Quantum hardware. Specifically, we imp...
Learning quantum systems
Valentin Gebhart, R. Santagati, A. Gentile +7 more·Jul 1, 2022
The complexity of quantum systems increases exponentially with their size, but in many practical contexts there are assumptions (such as low rank, sparsity, or a specific type of expected dynamics) that enable classical algorithms to be efficient in ...
Multipartite Entanglement in Rabi-Driven Superconducting Qubits
Marie Lu, J. Ville, Joachim Cohen +12 more·Jul 1, 2022
Exploring highly connected networks of qubits is invaluable for implementing various quantum algorithms and simulations as it allows for entangling qubits with reduced circuit depth. Here, we demonstrate a multi-qubit STAR (Sideband Tone Assisted Rab...
Interaction Energies on Noisy Intermediate-Scale Quantum Computers
Matthias Loipersberger, F. Malone, Alicia R. Welden +7 more·Jul 1, 2022
The computation of interaction energies on noisy intermediate-scale quantum (NISQ) computers appears to be challenging with straightforward application of existing quantum algorithms. For example, use of the standard supermolecular method with the va...
Evaluating the Q-score of Quantum Annealers
Ward van der Schoot, D. Leermakers, R. Wezeman +2 more·Jul 1, 2022
We report the Atos Q-score for D-Wave’s quantum devices, classical algorithms and hybrid quantum-classical solver. Computing the Q-score entails solving the Max-Cut problem for increasingly large graphs. This work presents the first computation of th...
Properties of The Discrete Sinc Quantum State and Applications to Measurement Interpolation
Charlee Stefanski, Vanio Markov, Constantin Gonciulea·Jul 1, 2022
Extracting the outcome of a quantum computation is a difficult task. In many cases, the quantum phase estimation algorithm is used to digitally encode a value in a quantum register whose amplitudes' magnitudes reflect the discrete sinc function. In t...
Exploiting Anyonic Behavior of Quasicrystals for Topological Quantum Computing
Marcelo M. Amaral, David Chester, F. Fang +1 more·Jul 1, 2022
The concrete realization of topological quantum computing using low-dimensional quasiparticles, known as anyons, remains one of the important challenges of quantum computing. A topological quantum computing platform promises to deliver more robust qu...
Rapid training of quantum recurrent neural networks
M. Siemaszko, A. Buraczewski, B. L. Saux +1 more·Jul 1, 2022
Time series prediction is essential for human activities in diverse areas. A common approach to this task is to harness recurrent neural networks (RNNs). However, while their predictions are quite accurate, their learning process is complex and, thus...
Automated Quantum Circuit Design With Nested Monte Carlo Tree Search
Peiyue Wang, M. Usman, U. Parampalli +2 more·Jul 1, 2022
Quantum algorithms based on variational approaches are one of the most promising methods to construct quantum solutions and have found a myriad of applications in the last few years. Despite the adaptability and simplicity, their scalability and the ...
Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations
Esther Villar-Rodriguez, E. Osaba, I. Oregi·Jul 1, 2022
Despite being considered as the next frontier in computation, Quantum Computing is still in an early stage of development. Indeed, current commercial quantum computers suffer from some critical restraints, such as noisy processes and a limited amount...