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Autor:
Darren R. Brenner, Chantelle Carbonell, Dylan E. O’Sullivan, Yibing Ruan, Robert B. Basmadjian, Vickey Bu, Eliya Farah, Shaun K. Loewen, Tara R. Bond, Angela Estey, Anna Pujadas Botey, Paula J. Robson
Publikováno v:
Current Oncology, Vol 30, Iss 11, Pp 9981-9995 (2023)
The impact of cancer in Alberta is expected to grow considerably, largely driven by population growth and aging. The Future of Cancer Impact (FOCI) initiative offers an overview of the present state of cancer care in Alberta and highlights potential
Externí odkaz:
https://doaj.org/article/32084b29258041b68703925892df16ca
Autor:
Herrera, Macarena Lorena, Champarini, Leandro Gabriel, Basmadjian, Osvaldo Martín, Bellini, María José, Hereñú, Claudia Beatriz
Publikováno v:
In Brain Behavior and Immunity July 2024 119:851-866
Predicting the optimum SWAP depth of a quantum circuit is useful because it informs the compiler about the amount of necessary optimization. Fast prediction methods will prove essential to the compilation of practical quantum circuits. In this paper,
Externí odkaz:
http://arxiv.org/abs/2106.13998
Quantum circuit simulators have a long tradition of exploiting massive hardware parallelism. Most of the times, parallelism has been supported by special purpose libraries tailored specifically for the quantum circuits. Quantum circuit simulators are
Externí odkaz:
http://arxiv.org/abs/2106.13995
We present an arithmetic circuit performing constant modular addition having $\mathcal{O}(n)$ depth of Toffoli gates and using a total of $n+3$ qubits. This is an improvement by a factor of two compared to the width of the state-of-the-art Toffoli-ba
Externí odkaz:
http://arxiv.org/abs/2102.03615
We provide evidence that commonly held intuitions when designing quantum circuits can be misleading. In particular we show that: a) reducing the T-count can increase the total depth; b) it may be beneficial to trade CNOTs for measurements in NISQ cir
Externí odkaz:
http://arxiv.org/abs/2101.04764
Quantum resource analysis is crucial for designing quantum circuits as well as assessing the viability of arbitrary (error-corrected) quantum computations. To this end, we introduce QUANTIFY, which is an open-source framework for the quantitative ana
Externí odkaz:
http://arxiv.org/abs/2007.10893
Publikováno v:
Phys. Rev. A 102, 032608 (2020)
Quantum algorithms often use quantum RAMs (QRAM) for accessing information stored in a database-like manner. QRAMs have to be fast, resource efficient and fault-tolerant. The latter is often influenced by access speeds, because shorter times introduc
Externí odkaz:
http://arxiv.org/abs/2002.09340
Akademický článek
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Publikováno v:
In Energy & Buildings 1 October 2023 296