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Physical Review A

Decompositions of multiple controlled- Z gates on various qubit-coupling graphs

Ken M. Nakanishi, Takahiko Satoh, Synge Todo

Published Jul 1, 2024• 5 citations
Publisher

Abstract

Efficient decomposition of multiqubit operators is critical in the execution of quantum algorithms. In this paper, we introduce decompositions of the multiple controlled-$Z$ (ccz and cccz) gates tailored to various qubit-coupling graphs. Specifically, we demonstrate that the ccz gate is realized with cz-depth 4 on a square-shaped qubit-coupling graph utilizing one auxiliary qubit. As for the cccz gate, previous research indicated that the decomposition requires 14 cz gates in a fully connected topology. However, our findings reveal that only four specific qubit couplings are needed to achieve a decomposition using the same number of cz gates, 14. Our research employs an optimization method to improve the alignment of parametrized quantum circuits with their intended quantum gates, which facilitates these efficient decompositions. This methodology is versatile and can be applied to decompose any quantum gates, not just the ccz and cccz gates. These advancements in decomposing multiqubit gates, coupled with our ccz and cccz decompositions, are poised to reduce quantum circuit execution times and enhance the efficiency of complex quantum algorithms in imminent quantum computing applications.

DOI
10.1103/physreva.110.012604

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Efficient decomposition of multiqubit operators is critical in the execution of quantum algorithms. In this paper, we introduce decompositions of the multiple controlled-ZZZ (ccz and cccz) gates tailored to various qubit-coupling graphs. Specifically, we demonstrate that the ccz gate is realized with cz-depth 4 on a square-shaped qubit-coupling graph utilizing one auxiliary qubit. As for the cccz gate, previous research indicated that the decomposition requires 14 cz gates in a fully connected topology. However, our findings reveal that only four specific qubit couplings are needed to achieve a decomposition using the same number of cz gates, 14. Our research employs an optimization method to improve the alignment of parametrized quantum circuits with their intended quantum gates, which facilitates these efficient decompositions. This methodology is versatile and can be applied to decompose any quantum gates, not just the ccz and cccz gates. These advancements in decomposing multiqubit gates, coupled with our ccz and cccz decompositions, are poised to reduce quantum circuit execution times and enhance the efficiency of complex quantum algorithms in imminent quantum computing applications.
Efficient decompositions of multi-qubit gates are essential in NISQ applications, where the number of gates or the circuit depth is limited. This paper presents efficient decompositions of CCZ and CCCZ gates, typical multi-qubit gates, under several qubit connectivities. We can construct the CCZ gate with only four CZ-depth when the qubit is square-shaped, including one auxiliary qubit. In T-shaped qubit connectivity, which has no closed loop, we can decompose the CCCZ gate with 17 CZ gates. While previous studies have shown a CCCZ gate decomposition with 14 CZ gates for the fully connected case, we found only four connections are sufficient for 14 CZ gates' implementation. The search for constraint-sufficient decompositions is aided by an optimization method we devised to bring the parameterized quantum circuit closer to the target quantum gate. We can apply this scheme to decompose any quantum gates, not only CCZ and CCCZ. Such decompositions of multi-qubit gates, together with the newly found CCZ and CCCZ decompositions, shorten the execution time of quantum circuits and improve the accuracy of complex quantum algorithms on near future QPUs.
Systematic construction of multi-controlled Pauli gate decompositions with optimal TTT-count
Multi-controlled Pauli gates are typical high-level qubit operations that appear in the quantum circuits of various quantum algorithms. We find multi-controlled Pauli gate decompositions with smaller CNOT-count or TTT-depth while keeping the currently known minimum TTT-count. For example, for the CCCZ gate, we find decompositions with CNOT-count 7 or TTT-depth 2 while keeping the TTT-count at the currently known minimum of 6. The discovery of these efficient decompositions improves the computational efficiency of many quantum algorithms. What led to this discovery is the systematic procedure for constructing multi-controlled Pauli gate decompositions. This procedure not only deepens our theoretical understanding of quantum gate decomposition but also leads to more efficient decompositions that have yet to be discovered.
This paper presents novel methods for optimizing multi-controlled quantum gates, which naturally arise in high-level quantum programming. Our primary approach involves rewriting U ( 2 ) gates as S U ( 2 ) gates, utilizing one auxiliary qubit for phase correction. This reduces the number of CNOT gates required to decompose any multi-controlled quantum gate from O ( n 2 ) to at most 32 n . Additionally, we can reduce the number of CNOTs for multi-controlled Pauli gates from 16 n to 12 n and propose an optimization to reduce the number of controlled gates in high-level quantum programming. We have implemented these optimizations in the Ket quantum programming platform and demonstrated significant reductions in the number of gates. For instance, for a Grover's algorithm layer with 114 qubits, we achieved a reduction in the number of CNOTs from 101,252 to 2,684. This reduction in the number of gates significantly impacts the execution time of quantum algorithms, thereby enhancing the feasibility of executing them on NISQ computers.
Abstract With the rapid development of quantum computing, quantum computing devices have entered the Noisy Intermediate-Scale Quantum(NISQ)era. However, current NISQ quantum computing devices still face the challenge of physical limitations. To enable quantum algorithms to be directly executed on quantum computing devices, high-level quantum gates (such as MCT gates) in quantum circuits need to be decomposed and mapped onto quantum computing devices. This paper proposes a quantum device-aware method for decomposing high-level quantum gates. This method selects an optimal sub-topology of the quantum device as the target based on the circuit scale and the goal of reducing error rates. According to the proposed MCT gate decomposition rules, an associated gate-pairs generation algorithm is designed to facilitate subsequent decomposition. The control bits of the MCT gates are partitioned based on the associated gate-pair to better match the selected sub-topology. After eliminating redundant gates through the inverse decomposition of associated gate-pairs, the mapping is performed. Experimental results show that the proposed decomposition method reduces the number of basic quantum gates in quantum circuits, with an average optimization rate of 14.6%. For benchmark circuits decomposed using the method, applying the routing algorithm for mapping requires fewer additional gates, with an average optimization rate of 20.6%. The fidelity of the circuits improved by an average of 14.1% after mapping.
Quantum logic decomposition refers to decomposing a given quantum gate to a set of physically implementable gates. An approach has been presented to decompose arbitrary diagonal quantum gates to a set of multiplexed-rotation gates around z axis. In this article, a special class of diagonal quantum gates, namely diagonal Hermitian quantum gates, is considered and a new perspective to the decomposition problem with respect to decomposing these gates is presented. It is first shown that these gates can be decomposed to a set that solely consists of multiple-controlled Z gates. Then a binary representation for the diagonal Hermitian gates is introduced. It is shown that the binary representations of multiple-controlled Z gates form a basis for the vector space that is produced by the binary representations of all diagonal Hermitian quantum gates. Moreover, the problem of decomposing a given diagonal Hermitian gate is mapped to the problem of writing its binary representation in the specific basis mentioned previously. Moreover, CZ gate is suggested to be the two-qubit gate in the decomposition library, instead of previously used CNOT gate. Experimental results show that the proposed approach can lead to circuits with lower costs in comparison with the previous ones.
It is considered to be very important to reduce so-called the T-depth of a target quantum circuit for realizing future fault-tolerant quantum computation. Thus, there have been many researches to consider how to decompose Multiple Controlled Toffoli (MCT) gates with few T-depth; these existing methods do not consider the T-depth of each qubit when they decompose one MCT gate. In contrast to existing methods, this paper proposes to consider the T-depth of each qubit when we decompose an MCT gate; we show that we can decrease the T-depth by considering the T-depth of each qubit and appropriately selecting ancilla qubits and decomposition methods. In addition, to consider the impact of the decomposition of one MCT gate on the decomposition of subsequent gates, our method utilizes beam search to select a possibly best decomposition for each MCT gate. We confirmed that the proposed method can reduce the T-depth by an average of 17.1% compared to existing methods.