Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Quantum Information Processing

Construction and depth optimization of quantum controlled adder

Chanho Jeon, Donghoe Heo, 신효준, Seokhie Hong

Published May 25, 2026• 1 citation
Publisher
DOI
10.1007/s11128-026-05211-3

Related papers

Optimized quantum implementation of novel controlled adders/subtractors

Hilal Ahmad Bhat, Farooq Ahmad Khanday, Brajesh Kumar Kaushik

Quantum Information Processing•Apr 16, 2023•9 citations

Ancilla-free optimal quantum adder

Junhong Nie, Jialiang Tang, Xiaoming Sun +1 more

We construct an exact $n$-bit quantum adder with $O(n)$ gates and $O(\log n)$ depth that requires no ancillary qubits. The circuit uses only $X$, CNOT, and Toffoli gates under all-to-all connectivity and is classically reversible. Our construction accelerates the controlled ladder underlying addition. Grouping the data into blocks and use existing control qubits as conditional workspace gives a recursive construction with $O(n\log\log n)$ gates and $O(\log n)$ depth. We then coordinate inter-block propagation via two short-path forest operations to cut the per-block workspace requirement, yielding a nonrecursive implementation with $O(n)$ gates. Both the gate count and circuit depth are asymptotically optimal.

quant-pharXiv:2610.34446•Oct 27, 2026•0 citations

Ancilla-Free Quantum Adder with Sublinear Depth

Maxime Remaud, Vivien Vandaele

arXiv:2501.16802•Lecture notes in computer science•Jan 1, 2025•6 citations

A Logarithmic-Depth Quantum Multiplier

Fred Sun, Anton Borissov

We present a quantum algorithm for multiplying two $n$-bit integers with overall circuit depth and $T$-depth both bounded by $O(\log n)$, while using $O(n^2)$ gates and ancillary qubits. Our construction generates partial products via indicator-controlled copying and adds them using a tree of reversible $3$-to-$2$ adders followed by one quantum carry-lookahead adder. Building on the carry-save adders of Kim et al., we combine full input fanout, workspace reuse, and phase-corrected gate implementations to reduce $T$-depth. We provide explicit circuit constructions, proofs of correctness, and concrete closed-form resource bounds.

quant-pharXiv:2604.09847•Apr 14, 2026•0 citations

Quantum adder circuits

Hafiz Md. Hasan Babu

Institute of Physics eBooks•May 1, 2020•0 citations

The PPKN Gate: An Optimal 1-Toffoli Input-Preserving Full Adder for Quantum Arithmetic

G. Papakonstantinou

Efficient arithmetic operations are a prerequisite for practical quantum computing. Optimization efforts focus on two primary metrics: Quantum Cost (QC), determined by the number of non-linear gates, and Logical Depth, which defines the execution speed. Existing literature identifies the HNG gate as the standard for Input-Preserving Reversible Full Adders. HNG gate typically requires a QC of 12 and a logical depth of 5, in the area of classical reversible circuits. This paper proposes the PPKN Gate, a novel design that achieves the same inputpreserving functionality using only one Toffoli gate and five CNOT gates. With a Quantum Cost of 10 and a reduced logical depth of 4, the PPKN gate outperforms the standard HNG gate in both complexity and speed. Furthermore, we present a modular architecture for constructing an n-bit Ripple Carry Adder by cascading PPKN modules.

quant-pharXiv:2512.12073•Dec 16, 2025•0 citations
We construct an exact nnn-bit quantum adder with O(n)O(n)O(n) gates and O(log⁡n)O(\log n)O(logn) depth that requires no ancillary qubits. The circuit uses only XXX, CNOT, and Toffoli gates under all-to-all connectivity and is classically reversible. Our construction accelerates the controlled ladder underlying addition. Grouping the data into blocks and use existing control qubits as conditional workspace gives a recursive construction with O(nlog⁡log⁡n)O(n\log\log n)O(nloglogn) gates and O(log⁡n)O(\log n)O(logn) depth. We then coordinate inter-block propagation via two short-path forest operations to cut the per-block workspace requirement, yielding a nonrecursive implementation with O(n)O(n)O(n) gates. Both the gate count and circuit depth are asymptotically optimal.
We present a quantum algorithm for multiplying two nnn-bit integers with overall circuit depth and TTT-depth both bounded by O(log⁡n)O(\log n)O(logn), while using O(n2)O(n^2)O(n2) gates and ancillary qubits. Our construction generates partial products via indicator-controlled copying and adds them using a tree of reversible 333-to-222 adders followed by one quantum carry-lookahead adder. Building on the carry-save adders of Kim et al., we combine full input fanout, workspace reuse, and phase-corrected gate implementations to reduce TTT-depth. We provide explicit circuit constructions, proofs of correctness, and concrete closed-form resource bounds.
Efficient arithmetic operations are a prerequisite for practical quantum computing. Optimization efforts focus on two primary metrics: Quantum Cost (QC), determined by the number of non-linear gates, and Logical Depth, which defines the execution speed. Existing literature identifies the HNG gate as the standard for Input-Preserving Reversible Full Adders. HNG gate typically requires a QC of 12 and a logical depth of 5, in the area of classical reversible circuits. This paper proposes the PPKN Gate, a novel design that achieves the same inputpreserving functionality using only one Toffoli gate and five CNOT gates. With a Quantum Cost of 10 and a reduced logical depth of 4, the PPKN gate outperforms the standard HNG gate in both complexity and speed. Furthermore, we present a modular architecture for constructing an n-bit Ripple Carry Adder by cascading PPKN modules.