Results 71 to 80 of about 2,313,857 (309)
Machine learning method for state preparation and gate synthesis on photonic quantum computers [PDF]
We show how techniques from machine learning and optimization can be used to find circuits of photonic quantum computers that perform a desired transformation between input and output states.
J. M. Arrazola+5 more
semanticscholar +1 more source
Scaling‐Up of Structural Superlubricity: Challenges and Opportunities
At increasing length‐scales, structural superlubricity (SSL) faces challenges from physical and chemical energy dissipation pathways. This study reviews recent experimental and theoretical progress on these challenges facing the scaling‐up of SSL, as well as perspectives on future directions for realizing and manipulating macroscale superlubricity ...
Penghua Ying+4 more
wiley +1 more source
Quantum gate verification and its application in property testing
To guarantee the normal functioning of quantum devices in different scenarios, appropriate benchmarking tool kits are quite significant. Inspired by the recent progress on quantum state verification, here we establish a general framework of verifying a ...
Pei Zeng, You Zhou, Zhenhuan Liu
doaj +1 more source
Variational quantum compiling with double Q-learning
Quantum compiling aims to construct a quantum circuit V by quantum gates drawn from a native gate alphabet, which is functionally equivalent to the target unitary U . It is a crucial stage for the running of quantum algorithms on noisy intermediate-scale
Zhimin He+4 more
doaj +1 more source
Nonadiabatic holonomic multiqubit controlled gates [PDF]
Previous schemes of nonadiabatic holonomic quantum computation were focused mainly on realizing a universal set of elementary gates. Multiqubit controlled gates could be built by decomposing them into a series of the universal gates. In this article, we propose an approach for realizing nonadiabatic holonomic multiqubit controlled gates in which a $(n ...
arxiv +1 more source
Finding the ground state of the Hubbard model by variational methods on a quantum computer with gate errors [PDF]
A key goal of digital quantum computing is the simulation of fermionic systems such as molecules or the Hubbard model. Unfortunately, for present and near-future quantum computers the use of quantum error correction schemes is still out of reach.
Jan-Michael Reiner+3 more
semanticscholar +1 more source
Rigid Fluorescent Indacenetetraone‐Based Semiconducting Polymers via Knoevenagel Condensation
New donor–acceptor polymers prepared by Knoevenagel condensation of indacenedithiophene‐ and indacenedifuran‐based aldehydes reveal an exceptionally rigid backbone, which is manifested in the remarkably narrow absorption and emission bands in red to near‐infrared region.
So‐Huei Kang+7 more
wiley +1 more source
Comparing planar quantum computing platforms at the quantum speed limit
An important aspect that strongly impacts the experimental feasibility of quantum circuits is the ratio of gate times and typical error time scales. Algorithms with circuit depths that significantly exceed the error time scales will result in faulty ...
Daniel Basilewitsch+2 more
doaj +1 more source
Noise resilience of variational quantum compiling
Variational hybrid quantum-classical algorithms (VHQCAs) are near-term algorithms that leverage classical optimization to minimize a cost function, which is efficiently evaluated on a quantum computer.
Kunal Sharma+3 more
doaj +1 more source
Recovering quantum gates from few average gate fidelities [PDF]
Characterizing quantum processes is a key task in the development of quantum technologies, especially at the noisy intermediate scale of today's devices.
I. Roth+6 more
semanticscholar +1 more source