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PreprintCC BY 4.0arXiv

Ancilla-free optimal quantum adder

Abstract

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(nloglog 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.

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BibTeX
@misc{nie2026ancillafree,
  title = {{Ancilla-free optimal quantum adder}},
  author = {Junhong Nie and Jialiang Tang and Xiaoming Sun and Wei Zi},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.34446},
  eprint = {2610.34446},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.34446},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Ancilla-free optimal quantum adder
AU  - Junhong Nie
AU  - Jialiang Tang
AU  - Xiaoming Sun
AU  - Wei Zi
PY  - 2026
DA  - 2026/10/25
PB  - arXiv
DO  - 10.48550/arxiv.2610.34446
UR  - https://arxiv.org/abs/2610.34446
AB  - 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(nloglog 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.
ER  -