Geyser

Abstract

Compared to widely-used superconducting qubits, neutral-atom quantum computing technology promises potentially better scalability and flexible arrangement of qubits to allow higher operation parallelism and more relaxed cooling requirements. The high performance computing (HPC) and architecture community is beginning to design new solutions to take advantage of neutral-atom quantum architectures and overcome its unique challenges.We propose Geyser, the first work to take advantage of the multiqubit gates natively supported by neutral-atom quantum computers by appropriately mapping quantum circuits to three-qubit-friendly physical arrangement of qubits. Then, Geyser creates multiple logical blocks in the quantum circuit to exploit quantum parallelism and reduce the number of pulses needed to realize physical gates. These circuit blocks elegantly enable Geyser to compose equivalent circuits with three-qubit gates, even when the original program does not have any multi-qubit gates. Our evaluation results show Geyser reduces the number of operation pulses by 25%-90% and improves the algorithm's output fidelity by 25%-60% points across different algorithms. CCS CONCEPTS• Computer systems organization → Quantum computing.

Computational capabilities and compiler development for neutral atom quantum processors—connecting tool developers and hardware experts

“…1. However, Patel et al [29] and the corresponding open-source Python software Geyser [115] take a different approach. Instead of decomposing a large unitary into a basis gate set containing multi-qubit gates, they compose blocks of Toffoli gates from a set of two-qubit gates.…”

“…Manual optimization becomes infeasible as system sizes scale, necessitating automated processes and comprehensive toolkits to establish a complete compilation pipeline. While a multitude of frameworks is available for other hardware platforms, such as superconducting chips [13][14][15][16][17][18][19][20][21][22], or trapped ions [23][24][25][26][27], the landscape of compiler tools tailored to NA-specific hardware constraints [28][29][30][31][32][33][34][35][36] is still less developed.…”

Dancing the Quantum Waltz: Compiling Three-Qubit Gates on Four Level Architectures

“…In cases where we don't need to use as many three qubit gates, it does not make as much sense to use ququarts for the entirety of the circuit. While this indicates that quantum circuits that only use two-qubit gates do not benefit from this encoding scheme, we can use resynthesis tools [59] to automatically insert three-qubit gates into the circuit, such as in [45]. However, resynthesis can introduce additional error as a perfect direct translation is not always possible and is better explored in a future work.…”

Robust system software for quantum computing

“…Several works have proposed optimizations for the microwave pulses applied at the lowest level to control qubit states. These optimizations reduce circuit runtimes, which decreases the state errors [50,54,55,56,57,58,59]. For example, GEYSER [58] creates multiple logical blocks in the quantum circuit to exploit quantum parallelism and reduce the number of pulses needed to realize physical gates on neutral atom quantum computers.…”

“…These optimizations reduce circuit runtimes, which decreases the state errors [50,54,55,56,57,58,59]. For example, GEYSER [58] creates multiple logical blocks in the quantum circuit to exploit quantum parallelism and reduce the number of pulses needed to realize physical gates on neutral atom quantum computers. On the other hand, DISQ [59] optimizes the classifier that differentiates between different quantum output states using the quantum pulse schedules on IBM superconducting quantum computers.…”