- Brooks Riley Foxen
- Charles Neill
- Andrew Dunsworth
- Pedram Roushan
- Ben Chiaro
- Anthony Megrant
- Julian Kelly
- Jimmy Chen
- Kevin Satzinger
- Rami Barends
- Frank Carlton Arute
- Kunal Arya
- Ryan Babbush
- Dave Bacon
- Joseph Bardin
- Sergio Boixo
- David A Buell
- Brian Burkett
- Yu Chen
- Roberto Collins
- Edward Farhi
- Austin Fowler
- Craig Michael Gidney
- Marissa Giustina
- Rob Graff
- Matthew P Harrigan
- Trent Huang
- Sergei Isakov
- Evan Jeffrey
- Zhang Jiang
- Dvir Kafri
- Kostyantyn Kechedzhi
- Paul Klimov
- Alexander Korotkov
- Fedor Kostritsa
- Dave Landhuis
- Erik Lucero
- Jarrod McClean
- Matthew McEwen
- Xiao Mi
- Masoud Mohseni
- Josh Mutus
- Ofer Naaman
- Matthew Neeley
- Murphy Yuezhen Niu
- Chris Quintana
- Nicholas Rubin
- Daniel Sank
- Vadim Smelyanskiy
- Amit Vainsencher
- Ted White
- Adam Zalcman
- Jamie Yao
- Hartmut Neven
- John Martinis
Abstract
Quantum algorithms offer a dramatic speedup for computational problems in machine learning, material science, and chemistry. However, any near-term realizations of these algorithms will need to be heavily optimized to fit within the finite resources offered by existing noisy quantum hardware. Here, taking advantage of the strong adjustable coupling of gmon qubits, we demonstrate a continuous two qubit gate set that can provide a 5x reduction in circuit depth. We implement two gate families: an iSWAP-like gate to attain an arbitrary swap angle, $\theta$, and a CPHASE gate that generates an arbitrary conditional phase, $\phi$. Using one of each of these gates, we can perform an arbitrary two qubit gate within the excitation-preserving subspace allowing for a complete implementation of the so-called Fermionic Simulation, or fSim, gate set. We benchmark the fidelity of the iSWAP-like and CPHASE gate families as well as 525 other fSim gates spread evenly across the entire fSim($\theta$, $\phi$) parameter space achieving purity-limited average two qubit Pauli error of $3.8 \times 10^{-3}$ per fSim gate.
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