
Plenary 2: Multi-qubit Toffoli with Fewer T Gates
plenary
Wed, 28 Jan 2026, 09:00 - 10:00
- Multi-qubit Toffoli with exponentially fewer T gatesDavid Gosset (University of Waterloo); Robin Kothari (Google Quantum AI); Chenyi Zhang (Stanford University & Google Quantum AI)[abstract]Abstract: Prior work of Beverland et al. has shown that any exact Clifford+T implementation of the n-qubit Toffoli gate must use at least n T gates. Here we show how to get away with exponentially fewer T gates, at the cost of incurring a tiny 1/poly(n) error that can be neglected in most practical situations. More precisely, the n-qubit Toffoli gate can be implemented to within error ϵ in the diamond distance by a randomly chosen Clifford+T circuit with at most O(log(1/ϵ)) T gates. We also give a matching Ω(log(1/ϵ)) lower bound that establishes optimality, and we show that any purely unitary implementation achieving even constant error must use Ω(n) T gates. We also extend our sampling technique to implement other Boolean functions. Finally, we describe upper and lower bounds on the T-count of Boolean functions in terms of non-adaptive parity decision tree complexity and its randomized analogue.