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数理解析研究所講究録

Parallelization of Restricted Quantum Circuits using Ancillae (Algebraic Systems, Formal Languages and Computations)

Hideaki Abe, Shao Chin Sung

Published Aug 1, 2000• 0 citations
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Ancillary qubits are an essential resource in quantum programs, yet their management often introduces artificial long-range dependencies that obscure opportunities for parallel execution. In many programming models, uncomputation is treated as a global cleanup phase appended after the forward computation, causing temporary data to remain live far beyond its semantic relevance and inflating both circuit width and scheduling constraints. Building on the lifetime-guided uncomputation discipline introduced in the quantum programming language Qutes, this paper identifies and formalizes a new form of parallelism emerging from the semantic structure of quantum programs. By precisely tracking the semantic lifetime of temporary variables, subcomputations associated with ancillas can be restored locally once their influence terminates. This mechanism exposes a form of structural parallelism that arises not from qubit disjointness or quantum superposition, but from the reduction of semantic dependencies in the program. We formalize this phenomenon through the notion of temporary regions in the circuit dependence graph and show that lifetime-guided reclamation induces a contraction of these regions, collapsing temporary subcomputations into locally closed structures. As a consequence, circuits compiled under this discipline reduce peak width through systematic ancilla reuse and improve space–time volume without increasing asymptotic depth, illustrating how high-level language semantics can reshape the structural properties of quantum circuits.

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An Algebraic Language for Distributed Quantum Computing

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A classical circuit can be represented by a circuit graph or equivalently by a Boolean expression. The advantage of a circuit graph is that it can help us to obtain an intuitive understanding of the circuit under consideration, whereas the advantage of a Boolean expression is that it is suited to various algebraic manipulations. In the literature, however, quantum circuits are mainly drawn as circuit graphs, and a formal language for quantum circuits that has a function similar to that of Boolean expressions for classical circuits is still missing. Certainly, quantum circuit graphs will become unmanageable when complicated quantum computing problems are encountered, and in particular, when they have to be solved by employing the distributed paradigm where complex quantum communication networks are involved. In this paper, we design an algebraic language for formally specifying quantum circuits in distributed quantum computing. Using this language, quantum circuits can be represented in a convenient and compact way, similar to the way in which we use Boolean expressions in dealing with classical circuits. Moreover, some fundamental algebraic laws for quantum circuits expressed in this language are established. These laws form a basis of rigorously reasoning about distributed quantum computing and quantum communication protocols.

IEEE Transactions on Computers•Jan 16, 2009•54 citations
Ancillary qubits are an essential resource in quantum programs, yet their management often introduces artificial long-range dependencies that obscure opportunities for parallel execution. In many programming models, uncomputation is treated as a global cleanup phase appended after the forward computation, causing temporary data to remain live far beyond its semantic relevance and inflating both circuit width and scheduling constraints. Building on the lifetime-guided uncomputation discipline introduced in the quantum programming language Qutes, this paper identifies and formalizes a new form of parallelism emerging from the semantic structure of quantum programs. By precisely tracking the semantic lifetime of temporary variables, subcomputations associated with ancillas can be restored locally once their influence terminates. This mechanism exposes a form of structural parallelism that arises not from qubit disjointness or quantum superposition, but from the reduction of semantic dependencies in the program. We formalize this phenomenon through the notion of temporary regions in the circuit dependence graph and show that lifetime-guided reclamation induces a contraction of these regions, collapsing temporary subcomputations into locally closed structures. As a consequence, circuits compiled under this discipline reduce peak width through systematic ancilla reuse and improve space–time volume without increasing asymptotic depth, illustrating how high-level language semantics can reshape the structural properties of quantum circuits.
A classical circuit can be represented by a circuit graph or equivalently by a Boolean expression. The advantage of a circuit graph is that it can help us to obtain an intuitive understanding of the circuit under consideration, whereas the advantage of a Boolean expression is that it is suited to various algebraic manipulations. In the literature, however, quantum circuits are mainly drawn as circuit graphs, and a formal language for quantum circuits that has a function similar to that of Boolean expressions for classical circuits is still missing. Certainly, quantum circuit graphs will become unmanageable when complicated quantum computing problems are encountered, and in particular, when they have to be solved by employing the distributed paradigm where complex quantum communication networks are involved. In this paper, we design an algebraic language for formally specifying quantum circuits in distributed quantum computing. Using this language, quantum circuits can be represented in a convenient and compact way, similar to the way in which we use Boolean expressions in dealing with classical circuits. Moreover, some fundamental algebraic laws for quantum circuits expressed in this language are established. These laws form a basis of rigorously reasoning about distributed quantum computing and quantum communication protocols.