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Design and synthesis of scalable quantum programs
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We present a scalable, robust approach to creating quantum programs of arbitrary size and complexity. The approach is based on the true abstraction of the problem. The quantum program is expressed in terms of a high-level model together with constraints and objectives on the final program. Advanced synthesis algorithms transform the model into a low-level quantum program that meets the user's specification and is directed at a stipulated hardware. This separation of description from implementation is essential for scale. The technology adapts electronic design automation methods to quantum computing, finding feasible implementations in a virtually unlimited functional space. The results show clear superiority over the compilation and transpilation methods used today. We expect that this technological approach will take over and prevail as quantum software become more demanding, complex, and essential.
Forward citations
Cited by 4 Pith papers
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High-level quantum structured programs as quantum registers compositions
A formal framework for structured quantum programming where operations act on entire quantum registers, demonstrated by a quantum SMT solver prototype.
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A generic algorithm automatically identifies conjugation-pair subcircuits that can skip control in quantum circuits, with an NP-hardness proof and a dynamic-programming approximation showing large practical reductions.
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Quantum Circuits for Quantum Spatial Search on $d$-Dimensional Lattices
Opposite directions are encoded so they differ in only the least significant coin qubit, letting the flip-flop shift's direction reversal be a single X gate in explicit lattice-search circuits.
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Implementation of a quantum linear solver for the Vlasov-Ampere equation
A Qmod/Classiq block-encoding circuit for the linearized Vlasov-Ampere system is implemented and benchmarked, with CX counts about two orders of magnitude below a rigid Qiskit baseline.
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