AC/DC: Automated Compilation for Dynamic Circuits
Dynamic quantum circuits incorporate mid-circuit measurements and feed-forward operations originally intended to realize Quantum Error Correction. This paradigm has recently been utilized to prepare certain states and long-range entangling gates as well as reduce resource overhead in quantum algorit...
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Zusammenfassung: | Dynamic quantum circuits incorporate mid-circuit measurements and
feed-forward operations originally intended to realize Quantum Error
Correction. This paradigm has recently been utilized to prepare certain states
and long-range entangling gates as well as reduce resource overhead in quantum
algorithms such as Quantum Fourier Transformation and Quantum Phase Estimation.
In this paper, we present a novel framework for generating dynamic quantum
circuits that automatically prepare any state or unitary operator. This
procedure is powered by numerical optimization-based circuit synthesis methods.
The first contribution is introducing optimization objective functions
incorporating mid-circuit measurement and feed-forward operations. The second
contribution is incorporating these into a popular open-source quantum circuit
synthesis framework. We demonstrate the generation of dynamic circuits for
state preparation, long-range entangling gates, circuit optimization, and the
application of dynamic circuits to lattice simulations. The resulting circuits
are validated through simulation and execution on quantum hardware.
Furthermore, we perform noise analysis to explore the impact of different error
ratios in mid-circuit measurements and gate errors, identifying scenarios where
dynamic circuits offer the most significant benefits. The dynamic circuits
generated by our framework show substantial improvements in reducing circuit
depth and, in some cases, the number of gates required. To our knowledge, this
is the first practical procedure to generate dynamic quantum circuits. Our
objective functions are independent of the underlying synthesis framework and
can be easily reused. This framework opens new possibilities for circuit
generation and optimization methods, highlighting the potential of dynamic
circuits to enhance the performance of quantum algorithms on near-term quantum
computers. |
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DOI: | 10.48550/arxiv.2412.07969 |