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arXiv:2001.08343 · Physical Review Letters

Demonstrating a Continuous Set of Two-qubit Gates for Near-term Quantum Algorithms

Brooks Foxen, Charles Neill, A. Dunsworth, P. Roushan, B. Chiaro, A. Megrant, J. Kelly, Zijun Chen, Kevin J. Satzinger, R. Barends, Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C. Bardin, Sergio Boixo, David A. Buell, Brian Burkett, Yu Chen, Roberto Collins, Edward Farhi, Austin G. Fowler, Craig Gidney, Marissa Giustina, R. Graff, Matthew P. Harrigan, Trent Huang, Sergei V. Isakov, Evan R. Jeffrey, Z. Jiang, Dvir Kafri, Kostyantyn Kechedzhi, Paul V. Klimov, Alexander N. Korotkov, Fedor Kostritsa, David Landhuis, Erik A. Lucero, Jarrod R. McClean, Matt McEwen, Xiao Mi, Masoud Mohseni, J. Mutus, Ofer Naaman, M. Neeley, Murphy Yuezhen Niu, A. Petukhov, Chris Quintana, Nicholas C. Rubin, D. Sank, Vadim Smelyanskiy, A. Vainsencher, T. White, Z. Jamie Yao, P. Yeh, Adam Zalcman, Hartmut Neven, John M. Martinis, Google AI Quantum

Published Sep 15, 2020• 296 citations
arXivHTMLPDF

Abstract

Quantum algorithms offer a dramatic speedup for computational problems in material science and chemistry. However, any near-term realizations of these algorithms will need to be optimized to fit within the finite resources offered by existing noisy hardware. Here, taking advantage of the adjustable coupling of gmon qubits, we demonstrate a continuous two-qubit gate set that can provide a threefold reduction in circuit depth as compared to a standard decomposition. We implement two gate families: an imaginary swap-like (iSWAP-like) gate to attain an arbitrary swap angle, θ, and a controlled-phase gate that generates an arbitrary conditional phase, ϕ. 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 (fSim) gate set. We benchmark the fidelity of the iSWAP-like and controlled-phase gate families as well as 525 other fSim gates spread evenly across the entire fSim(θ,ϕ) parameter space, achieving a purity-limited average two-qubit Pauli error of 3.8×10^{-3} per fSim gate.

DOI
10.1103/physrevlett.125.120504

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Quantum algorithms offer a dramatic speedup for computational problems in material science and chemistry. However, any near-term realizations of these algorithms will need to be optimized to fit within the finite resources offered by existing noisy hardware. Here, taking advantage of the adjustable coupling of gmon qubits, we demonstrate a continuous two-qubit gate set that can provide a threefold reduction in circuit depth as compared to a standard decomposition. We implement two gate families: an imaginary swap-like (iSWAP-like) gate to attain an arbitrary swap angle, θ, and a controlled-phase gate that generates an arbitrary conditional phase, ϕ. 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 (fSim) gate set. We benchmark the fidelity of the iSWAP-like and controlled-phase gate families as well as 525 other fSim gates spread evenly across the entire fSim(θ,ϕ) parameter space, achieving a purity-limited average two-qubit Pauli error of 3.8×10^{-3} per fSim gate.
In gate-defined semiconductor spin qubits, the highly tunable Heisenberg exchange interaction is leveraged to implement fermionic two-qubit gates such as CZ and SWAP. However, the broader family of fermionic simulation (fSim) gates remains unexplored, and has the potential to enhance the performance of near-term quantum simulation algorithms. Here, we demonstrate a method to implement the fSim gate set in spin qubits using a single pulse combining baseband and resonant exchange drives. This approach minimizes gate duration and drive amplitude, mitigating decoherence and crosstalk. We validate its effectiveness by realizing a resonant iSWAP gate between two hole spins in germanium, achieving a fidelity of 93.8(5)% extracted with interleaved randomized benchmarking. Quantum process tomography confirms accurate gate calibration and identifies qubit decoherence as the dominant error source. Our results establish a practical route toward a versatile and efficient two-qubit gate set for spin-based quantum processors.
Continuous gate sets are a key ingredient for near-term quantum algorithms. Here, we demonstrate a hardware-efficient, continuous set of controlled arbitrary-phase ( CZ θ ) gates acting on flux-tunable transmon qubits. This implementation is robust to control pulse distortions on time scales longer than the duration of the gate, making it suitable for deep quantum circuits. Our calibration procedure makes it possible to parameterize the continuous gate set with a single control parameter, the idle time between the two rectangular halves of the net-zero control pulse. For calibration and characterization, we develop a leakage measurement based on coherent amplification, and a new cycle design for cross-entropy benchmarking. We demonstrate gate errors of 0.7 % and leakage of 4 × 10 − 4 across the entire gate set. This native gate set has the potential to reduce the depth and improve the performance of near-term quantum algorithms compared to decompositions into CZ π gates and single-qubit gates. Moreover, we expect the calibration and benchmarking methods to find further possible applications.
Quantum computing holds great promise for both scientific discovery and commercial applications. Superconducting quantum systems have become one of the leading architectures for large-scale quantum computing. Towards realizing practical quantum computing, improving two-qubit gate fidelity is a crucial task. It is relevant for both near-term pre-fault-tolerant quantum computers and future fault-tolerant quantum computers. This dissertation aims to provide a comprehensive study of two-qubit gates in superconducting systems. The major focus is on improving gate fidelity via using different drive schemes and coupler designs. The dissertation contains two primary original contributions. First, a novel method for implementing continuous fSim gates is proposed and analyzed in detail. The fSim gate set is a family of gates that combines iiiSWAP gate and CPHASE gate into one gate with variable rotation angles and conditional phase. This gate set is particularly interesting for quantum simulation of fermionic systems. Second, a theoretical framework for multi-mode couplers is developed. A multi-mode coupler design is proposed to enable fully localized decoupling among qubits and independent control of qubit-qubit interactions in different excitation subspaces. An example of two qubits coupled by a two-mode coupler is studied in detail. Building on the fSim gate theory and multi-mode coupler design, several future research directions are outlined. Pulse-level algorithms for simulating electronic systems are discussed as a key application of fSim gates. A three-mode coupler architecture is further introduced. In addition, the importance of incorporating open-system dynamics for accurate modeling of coupler behavior and gate performance is emphasized. Finally, a unified framework for modeling superconducting quantum processors is proposed, providing a systematic way to compare gate fidelities across theoretical approaches and ultimately guide improvements in quantum hardware performance.
Abstract While all quantum algorithms can be expressed in terms of single-qubit and two-qubit gates, more expressive gate sets can help reduce the algorithmic depth. This is important in the presence of gate errors, especially those due to decoherence. Using superconducting qubits, we have implemented a three-qubit gate by simultaneously applying two-qubit operations, thereby realizing a three-body interaction. This method straightforwardly extends to other quantum hardware architectures, requires only a firmware upgrade to implement, and is faster than its constituent two-qubit gates. The three-qubit gate represents an entire family of operations, creating flexibility in the quantum-circuit compilation. We demonstrate a process fidelity of 97.90%, which is near the coherence limit of our device. We then generate two classes of entangled states, the Greenberger–Horne–Zeilinger and Dicke states, by applying the new gate only once; in comparison, decompositions into the standard gate set would have a two-qubit gate depth of two and three, respectively. Finally, we combine characterization methods and analyze the experimental and statistical errors in the fidelity of the gates and of the target states.
Developing quantum computers for real-world applications requires understanding theoretical sources of quantum advantage and applying those insights to design more powerful machines. Toward that end, we introduce a high-fidelity gate set inspired by a proposal for near-term quantum advantage in optimization problems. By orchestrating coherent, multi-level control over three transmon qutrits, we synthesize a family of deterministic, continuous-angle quantum phase gates acting in the natural three-qubit computational basis (CCPHASE(θ)(θ)(θ)). We estimate the process fidelity for this scheme via Cycle Benchmarking of F=87.1±0.8%\mathcal{F}=87.1\pm0.8\%F=87.1±0.8%, higher than reference two-qubit gate decompositions. CCPHASE(θ)(θ)(θ) is anticipated to have broad experimental implications, and we report a blueprint demonstration for solving a class of binary constraint satisfaction problems whose construction is consistent with a path to quantum advantage.
The native gate set is fundamental to the performance of quantum devices, as it governs the accuracy of basic quantum operations and dictates the complexity of implementing quantum algorithms. Traditional approaches to extending gate sets often require accessing multiple transitions within an extended Hilbert space, leading to increased control complexity while offering only a limited set of gates. Here, we experimentally demonstrate a unified and highly versatile gate scheme capable of natively generating arbitrary two-qubit gates using only exchange interaction and qubit driving on a superconducting quantum processor, achieving maximum expressivity. Using a state-of-the-art transmon-coupler-transmon architecture, we achieve high fidelities averaging 99.37±0.07%99.37 \pm 0.07\%99.37±0.07% across a wide range of commonly used two-qubit unitaries. This outstanding performance, combined with reduced complexity, enables precise multipartite entangled state preparation, as demonstrated. To further enhance its applicability, we also show the high-fidelity realization of the unique B gate, which efficiently synthesizes the entire family of two-qubit gates. Our results highlight that fully exploiting the capabilities of a single interaction can yield a comprehensive and highly accurate gate set. With maximum expressivity, gate-time optimality, demonstrated high fidelity, and easy adaptability to other quantum platforms, our unified control scheme paves the way for optimal performance in quantum devices, offering exciting prospects for advancing quantum hardware and algorithm development.