Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Smolin, John"'
Entanglement distillation is a fundamental information processing task whose implementation is key to quantum communication and modular quantum computing. Noise experienced by such communication and computing platforms occurs not only in the form of
Externí odkaz:
http://arxiv.org/abs/2405.06231
Autor:
Siddhu, Vikesh, Smolin, John
Publikováno v:
Quantum 8, 1437 (2024)
Assessment of practical quantum information processing (QIP) remains partial without understanding limits imposed by noise. Unfortunately, mere description of noise grows exponentially with system size, becoming cumbersome even for modest sized syste
Externí odkaz:
http://arxiv.org/abs/2311.07680
Autor:
Zhang, Ting, Smith, Graeme, Smolin, John A., Liu, Lu, Peng, Xu-Jie, Zhao, Qi, Girolami, Davide, Ma, Xiongfeng, Yuan, Xiao, Lu, He
Publikováno v:
npj Quantum Inf 10, 60 (2024)
Entanglement and coherence are fundamental properties of quantum systems, promising to power near future quantum technologies, such as quantum computation, quantum communication and quantum metrology. Yet, their quantification, rather than mere detec
Externí odkaz:
http://arxiv.org/abs/2308.07068
Autor:
Siddhu, Vikesh, Smolin, John
Publikováno v:
Phys. Rev. A 108, 032617 (2023)
Sharing entanglement across quantum interconnects is fundamental for quantum information processing. We discuss a practical setting where this interconnect, modeled by a quantum channel, is used once with the aim of sharing high fidelity entanglement
Externí odkaz:
http://arxiv.org/abs/2301.01781
Publikováno v:
IEEE Transactions on Information Theory 69(6), pp.3825-3849, 2023
Understanding quantum channels and the strange behavior of their capacities is a key objective of quantum information theory. Here we study a remarkably simple, low-dimensional, single-parameter family of quantum channels with exotic quantum informat
Externí odkaz:
http://arxiv.org/abs/2202.08380
Publikováno v:
Physical Review Letters 130, 200801 (2023)
Determining capacities of quantum channels is a fundamental question in quantum information theory. Despite having rigorous coding theorems quantifying the flow of information across quantum channels, their capacities are poorly understood due to sup
Externí odkaz:
http://arxiv.org/abs/2202.08377
Autor:
Dutt, Arkopal, Pednault, Edwin, Wu, Chai Wah, Sheldon, Sarah, Smolin, John, Bishop, Lev, Chuang, Isaac L.
Publikováno v:
Phys. Rev. Research 5, 033060 (2023)
Hamiltonian learning is an important procedure in quantum system identification, calibration, and successful operation of quantum computers. Through queries to the quantum system, this procedure seeks to obtain the parameters of a given Hamiltonian m
Externí odkaz:
http://arxiv.org/abs/2112.14553
Autor:
Cross, Andrew W., Javadi-Abhari, Ali, Alexander, Thomas, de Beaudrap, Niel, Bishop, Lev S., Heidel, Steven, Ryan, Colm A., Sivarajah, Prasahnt, Smolin, John, Gambetta, Jay M., Johnson, Blake R.
Publikováno v:
ACM Transactions on Quantum Computing, Volume 3, Issue 3, 2022
Quantum assembly languages are machine-independent languages that traditionally describe quantum computation in the circuit model. Open quantum assembly language (OpenQASM 2) was proposed as an imperative programming language for quantum circuits bas
Externí odkaz:
http://arxiv.org/abs/2104.14722
Autor:
Kim, Jin-Sung, Bishop, Lev S., Corcoles, Antonio D., Merkel, Seth, Smolin, John A., Sheldon, Sarah
Publikováno v:
Phys. Rev. A 104, 022609 (2021)
In this work we extend a multi-qubit benchmarking technique known as the Binned Output Generation (BOG) in order to discriminate between coherent and incoherent noise sources in the multi-qubit regime. While methods exist to discriminate coherent fro
Externí odkaz:
http://arxiv.org/abs/2104.10221
Learning an unknown $n$-qubit quantum state $\rho$ is a fundamental challenge in quantum computing. Information-theoretically, it is known that tomography requires exponential in $n$ many copies of $\rho$ to estimate it up to trace distance. Motivate
Externí odkaz:
http://arxiv.org/abs/2102.07171