Efficient Algorithms for Quantum Hashing
By: Ilnar Zinnatullin, Kamil Khadiev
Potential Business Impact:
Makes quantum computers faster and more secure.
Quantum hashing is a useful technique that allows us to construct memory-efficient algorithms and secure quantum protocols. First, we present a circuit that implements the phase form of quantum hashing using $2^{n-1}$ CNOT gates, where n is the number of control qubits. Our method outperforms existing approaches and reduces the circuit depth. Second, we propose an algorithm that provides a trade-off between the number of CNOT gates (and consequently, the circuit depth) and the precision of rotation angles. This is particularly important in the context of NISQ (Noisy Intermediate-Scale Quantum) devices, where hardware-imposed angle precision limit remains a critical constraint.
Similar Papers
Quantum advantage from effective $200$-qubit holographic random circuit sampling
Quantum Physics
Makes quantum computers solve harder problems faster.
Evaluating Security Properties in the Execution of Quantum Circuits
Quantum Physics
Keeps secrets safe even on borrowed computers.
Quantum computing on encrypted data with arbitrary rotation gates
Quantum Physics
Lets computers do math on secret information safely.