Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Strong coupling between a photon and a hole spin in silicon
C. X. Yu, S. Zihlmann, J. C. Abadillo-Uriel +11 more·Jun 28, 2022
Spins in semiconductor quantum dots constitute a promising platform for scalable quantum information processing. Coupling them strongly to the photonic modes of superconducting microwave resonators would enable fast non-demolition readout and long-ra...
Ion trap long-range XY model for quantum state transfer and optimal spatial search
D. Lewis, L. Banchi, Yi Hong Teoh +2 more·Jun 28, 2022
Linear ion trap chains are a promising platform for quantum computation and simulation. The XY model with long-range interactions can be implemented with a single side-band Mølmer–Sørensen scheme, giving interactions that decay as 1/rα , where α para...
Chattering phenomenon in quantum optimal control
Rémi Robin, U. Boscain, M. Sigalotti +1 more·Jun 28, 2022
We present a quantum optimal control problem which exhibits a chattering phenomenon. This is the first instance of such a process in quantum control. Using the Pontryagin Maximum Principle and a general procedure due to V F Borisov and M I Zelikin, w...
Towards Turing-Complete Quantum Computing Coming From Classical Assembler
Thomas Gabor, M. Rosenfeld, Claudia Linnhoff-Popien·Jun 28, 2022
—Instead of producing quantum languages that are fit for current quantum computers, we build a language from standard classical assembler and augment it with quantum capabilities so that quantum algorithms become a subset of it. This paves the way for...
Scaling adaptive quantum simulation algorithms via operator pool tiling
J. V. Van Dyke, Karunya Shirali, George S. Barron +3 more·Jun 28, 2022
Adaptive variational quantum simulation algorithms use information from the quantum computer to dynamically create optimal trial wavefunctions for a given problem Hamiltonian. A key ingredient in these algorithms is a predefined operator pool from wh...
Data assimilation in operator algebras
D. Freeman, D. Giannakis, Brian Mintz +2 more·Jun 28, 2022
Significance Data assimilation is an essential component of numerical models for forecasting and uncertainty quantification of dynamical systems given incomplete knowledge of the state and governing equations. Here, we develop theory and computationa...
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers
Daniel Silver, Tirthak Patel, Devesh Tiwari·Jun 28, 2022
Quantum computers can theoretically have significant acceleration over classical computers; but, the near-future era of quantum computing is limited due to small number of qubits that are also error prone. QUILT is a framework for performing multi-cl...
Scalable simulation of quantum measurement process with quantum computers
Meng-Jun Hu, Yanbei Chen, Yiqiu Ma +4 more·Jun 28, 2022
Recent development in quantum information sciences and technologies, especially building programmable quantum computers, provide us new opportunities to study fundamental aspects of quantum mechanics. We propose qubit models to emulate the quantum me...
Wide Quantum Circuit Optimization with Topology Aware Synthesis
Mathias Weiden, Justin Kalloor, J. Kubiatowicz +2 more·Jun 27, 2022
Unitary synthesis is an optimization technique that can achieve optimal gate counts while mapping quantum circuits to restrictive qubit topologies. Synthesis algorithms are limited in scalability by their exponentially growing run times. Application ...
Transforming collections of Pauli operators into equivalent collections of Pauli operators over minimal registers
Lane G. Gunderman·Jun 27, 2022
Transformations which convert between Fermionic modes and qubit operations have become a ubiquitous tool in quantum algorithms for simulating systems. Similarly, collections of Pauli operators might be obtained from solutions of non-local games and s...
Observation of critical phase transition in a generalized Aubry-André-Harper model with superconducting circuits
Hao Li, Yong-Yi Wang, Yun-hao Shi +15 more·Jun 27, 2022
Quantum simulation enables study of many-body systems in non-equilibrium by mapping to a controllable quantum system, providing a powerful tool for computational intractable problems. Here, using a programmable quantum processor with a chain of 10 su...
Quantum Regularized Least Squares
Shantanav Chakraborty, Aditya Morolia, Anurudh Peduri·Jun 27, 2022
Linear regression is a widely used technique to fit linear models and finds widespread applications across different areas such as machine learning and statistics. In most real-world scenarios, however, linear regression problems are often ill-posed ...
Multi-agent blind quantum computation without universal cluster states
Shuxiang Cao·Jun 27, 2022
Blind quantum computation (BQC) protocols enable quantum algorithms to be executed on third-party quantum agents while keeping the data and algorithm confidential. The previous proposals for measurement-based BQC require preparing a highly entangled ...
Tripartite high-dimensional magnon-photon entanglement in PT -symmetry broken phases of a non-Hermitian hybrid system
Jin-Xuan Han, Jinling Wang, Yan Xia +2 more·Jun 26, 2022
Hybrid systems that combine spin ensembles and superconducting circuits provide a promising platform for implementing quantum information processing. We propose a non-Hermitian magnon-circuit-QED hybrid model consisting of two cavities and an yttrium...
Advancing hybrid quantum–classical computation with real-time execution
Thomas Lubinski, Cassandra Granade, Amos G. Anderson +4 more·Jun 26, 2022
The use of mid-circuit measurement and qubit reset within quantum programs has been introduced recently and several applications demonstrated that perform conditional branching based on these measurements. In this work, we go a step further and descr...
Experimental construction of a symmetric three-qubit entangled state and its utility in testing the violation of a Bell inequality on an NMR quantum simulator
Dileep Singh, Vaishali Gulati, Arvind +1 more·Jun 26, 2022
We designed a quantum circuit to prepare a permutation-symmetric maximally entangled three-qubit state called the state and experimentally created it on an NMR quantum processor. The presence of entanglement in the state was certified by computing tw...
Optimized numerical gradient and Hessian estimation for variational quantum algorithms
Y. S. Teo·Jun 25, 2022
Sampling noisy intermediate-scale quantum devices is a fundamental step that converts coherent quantum-circuit outputs to measurement data for running variational quantum algorithms that utilize gradient and Hessian methods in cost-function optimizat...
Spatially Tunable Spin Interactions in Neutral Atom Arrays.
Lea-Marina Steinert, Philip Osterholz, Robin Eberhard +5 more·Jun 24, 2022
Analog quantum simulations with Rydberg atoms in optical tweezers routinely address strongly correlated many-body problems due to the hardware-efficient implementation of the Hamiltonian. Yet, their generality is limited, and flexible Hamiltonian-des...
Tangelo: An Open-source Python Package for End-to-end Chemistry Workflows on Quantum Computers
Valentin Senicourt, James Brown, Alexandre Fleury +10 more·Jun 24, 2022
Tangelo (https link) is an open-source Python software package for the development of end-to-end chemistry workflows on quantum computers, released under Apache 2.0 license. It aims to support the design of successful experiments on quantum hardware, ...
Robust optimization for quantum reinforcement learning control using partial observations
Chen Jiang, Yu Pan, Zhengguang Wu +2 more·Jun 24, 2022
The current quantum reinforcement learning control models often assume that the quantum states are known a priori for control optimization. However, full observation of quantum state is experimentally infeasible due to the exponential scaling of the ...