Optimal ancilla-free Clifford+V approximation of z-rotations
By Neil J. Ross. Quantum information & computation, 2015
400 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/691402898b06409ed268e99837362c20c1146bb7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Nathan Wiebe
- Yuan Su
- Andrew M. Childs
- Jarrod R. McClean
- Krysta Marie Svore
- Ryan Babbush
- Simon C. Benjamin
- Y. Nam
In Computer Vision and Pattern Recognition
- Daniel Litinski
- Yuan Su
- Y. Nam
- Andrew M. Childs
- Dmitri Maslov
- Krysta Marie Svore
- Matthias Troyer
- Dave Wecker
In Hardware and Architecture
- Nathan Wiebe
- Yuan Su
- Krysta Marie Svore
- Andrew M. Childs
- Daniel Litinski
- Ryan Babbush
- Jarrod R. McClean
- Y. Nam
Citations in the corpus
- Automated optimization of large quantum circuits with continuous parameters (2017, neutral): “Optimal algorithms for producing such approximations are known.(37,38) The number of Clifford+ T gates required to approximate a generic Rz gate depends primarily on the desired accuracy rather than the specific angle of rotation, so it is preferable to optimize a circuit before approximating its Rz”
- Quantum error mitigation (2022, methodology): “The resultant compilation error will decrease exponentially with the increase of the number of T gates used (Daw-son and Nielsen, 2006; Kitaev, 1997; Kliuchnikov et al. , 2013; Ross and Selinger, 2016).”
- Elucidating reaction mechanisms on quantum computers (2016, methodology): “Subsequent work [57] has provided a method that has an average case complexity roughly 3/4 of this worst case bound and also has made the compilation process efficient [58].”
- Toward the first quantum simulation with quantum speedup (2017, methodology): “We also produce Clifford+ T circuits using optimal circuit synthesis (26) so that we can count T gates, which are typically the most expensive gates for fault-tolerant computation.”
- The future of quantum computing with superconducting qubits (2022, background): “The Clifford+ T gate set is universal and has a rich algebraic structure enabling efficient and nearly-optimal compiling of quantum algorithms 59,60 .”
- A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery (2018, background): “Depending on the desired precision, this can require ∼100 T gates for each rotation [44], which must be executed in series.”