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pro vyhledávání: '"Stace, Thomas M."'
Ferrite-free circulators that are passive and readily integratable on a chip are highly sought-after in quantum technologies based on superconducting circuits. In our previous work, we implemented such a circulator using a three-Josephson-junction lo
Externí odkaz:
http://arxiv.org/abs/2406.14821
Autor:
Fedorov, Arkady, Kumar, N. Pradeep, Le, Dat Thanh, Navarathna, Rohit, Pakkiam, Prasanna, Stace, Thomas M.
Building large-scale superconducting quantum circuits will require miniaturisation and integration of supporting devices including microwave circulators, which are currently bulky, stand-alone components. Here we report the realisation of a passive o
Externí odkaz:
http://arxiv.org/abs/2308.14643
Tensor network codes enable structured construction and manipulation of stabilizer codes out of small seed codes. Here, we apply reinforcement learning to tensor network code geometries and demonstrate how optimal stabilizer codes can be found. Using
Externí odkaz:
http://arxiv.org/abs/2305.11470
Autor:
Stace, Thomas M., Chen, Jiayin, Li, Li, Perunicic, Viktor S., Carvalho, Andre R. R., Hush, Michael R., Valahu, Christophe H., Tan, Ting Rei, Biercuk, Michael J.
Identifying and calibrating quantitative dynamical models for physical quantum systems is important for a variety of applications. Here we present a closed-loop Bayesian learning algorithm for estimating multiple unknown parameters in a dynamical mod
Externí odkaz:
http://arxiv.org/abs/2211.09090
Autor:
Navarathna, Rohit, Le, Dat Thanh, Hamann, Andrés Rosario, Nguyen, Hien Duy, Stace, Thomas M., Fedorov, Arkady
An on-chip microwave circulator that is compatible with superconducting devices is a key element for scale-up of superconducting circuits. Previous approaches to integrating circulators on chip involve either external driving that requires extra micr
Externí odkaz:
http://arxiv.org/abs/2208.13339
Tensor-network codes enable the construction of large stabilizer codes out of tensors describing smaller stabilizer codes. An application of tensor-network codes was an efficient and exact decoder for holographic codes. Here, we show how to write som
Externí odkaz:
http://arxiv.org/abs/2109.11996
Publikováno v:
PRX Quantum 2, 040351 (2021)
Estimating the features of noise is the first step in a chain of protocols that will someday lead to fault tolerant quantum computers. The randomized benchmarking (RB) protocol is designed with this exact mindset, estimating the average strength of n
Externí odkaz:
http://arxiv.org/abs/2107.05403
We consider tensor-network stabilizer codes and show that their tensor-network decoder has the property that independent logical qubits can be decoded in parallel. As long as the error rate is below threshold, we show that this parallel decoder is es
Externí odkaz:
http://arxiv.org/abs/2012.07317
Publikováno v:
Phys. Rev. Lett. 127, 040507 (2021)
Inspired by holographic codes and tensor-network decoders, we introduce tensor-network stabilizer codes which come with a natural tensor-network decoder. These codes can correspond to any geometry, but, as a special case, we generalize holographic co
Externí odkaz:
http://arxiv.org/abs/2009.10329
Publikováno v:
Phys. Rev. A 102, 062417 (2020)
We develop a most likely error Pauli error decoding algorithm for stabiliser codes based on general purpose integer optimisation. Using this decoder we analyse the performance of holographic codes against Pauli errors and find numerical evidence for
Externí odkaz:
http://arxiv.org/abs/2008.10206