classiq

In classical computing, physical aspects of memory management are critical for software performance. Most algorithm developers, however, do not bother themselves with such considerations and focus on simple programming. Such simplicity is allowed because industry-standard optimized libraries and automated tools carry the burden sufficiently for most use cases. It is, therefore, desirable for quantum algorithm development to benefit similarly. While quantum computers are still in the early stages, we can begin to apply analogous thinking. How? By considering the following two ingredients: quantum auxiliary (ancilla) qubits, which temporarily store intermediate computations, and the connectivity between qubits, a physical property of the memory. This blog post explains how they relate and explore this relation using Classiq’s platform to automate optimization.

"Press Release" post in a series of articles about quantum computing software and hardware, quantum computing industry news, qc hardware/software integration and more

"Blog" post in a series of articles about quantum computing software and hardware, quantum computing industry news, qc hardware/software integration and more

Press Release