Loading Classical Data into a Quantum Computer

Quantum computing holds a great deal of promise for tackling previously unsolvable computational problems. Quantum computing's ability to handle large sets of classical bits and harness the advantage of quantum entanglement requires efficient and capable circuits and algorithms. The problem with many existing quantum computing approaches is that they're not always efficient or effective. The gate depth required to load and manipulate quantum bits, or qubits, can be too high, consequently reducing the speed and power of quantum computations. Moreover, managing and differentiating input can be quite tricky, especially for large, complex data.

Technology Description

This technology deals with quantum circuits and methods designed to load N = 2n classical bits into an entangled quantum output state, only utilizing a gate depth of order O(n). This loading process involves dividing the 2n input bits into data words and subsequently entangling them by relying on ancilla qubits. Generated circuit output comprises a single data word, coupled with one or more index qubits selected from the ancilla to differentiate between input data words. What differentiates these quantum circuits and methods is their efficiency and capacity. The software manufactures entanglement of the data words in a singular time slice, arguably with a gate depth of 1. Also, the number of sequential gates required to produce the appropriate pre-entanglement quantum state in the ancilla, and to disentangle the non-output ancilla, adheres to the desired order O(n). Additionally, these quantum circuits can also disentangle qubits used to hold non-output data words during processing, demonstrating the adaptability of the innovation.