A research partnership at the Advanced Quantum Test Facility (AQT) at Lawrence Berkeley National Laboratory (Berkeley Lab) and Chicago-based Supertech (acquired by ColdQuanta in May 2022) demonstrated how to optimize the execution of the ZZ SWAP network protocol, which is important for quantum computing. The team also introduced a new quantum error elimination method that will improve the implementation of the network protocol in quantum processors. [1]

Figure 1. Optimizing SWAP networks for quantum computing

Figure 1 shows Quantum processors with two- or three-dimensional architectures have limited qubit connectivity where each qubit interacts with only a limited number of other qubits. Furthermore, each qubit's information can only exist for so long before noise and errors cause decoherence, limiting the runtime and fidelity of quantum algorithms.

In noisy intermediate-scale quantum (NISQ) hardware, introducing swap gates can require a large experimental overhead. The swap gate must often be decomposed into native gates, such as controlled-NOT gates. Therefore, when designing quantum circuits with limited qubit connectivity, it is important to use a smart compiler that can search for, decompose, and cancel redundant quantum gates to improve the runtime of a quantum algorithm or application. [2]

Support Industry Growth with an Open Access Research Lab

AQT operates a state-of-the-art open superconducting experimental test facility and is funded by the US Department of Energy’s Advanced Scientific Computing Research (ASCR) program. Technologies developed elsewhere can be deployed and field tested at AQT, providing deep access to the entire quantum computing stack at no additional cost.

Since opening its user program in 2020, AQT has given Super.tech, one of several industry users, low-level access to hardware to test their ideas. Few cloud quantum platforms offer such full access to the entire quantum computing stack and free, real-time feedback from hardware experts. Super.tech has partnered with AQT’s expert experimental group to explore ways to improve performance on this type of equipment. [3]

References:

1. https://shortsaveall.xyz/optimizing-swap-networks-for-quantum-computing/
2. https://phys.org/news/2022-08-optimizing-swap-networks-quantum.html
3. https://shortsaveall.xyz/optimizing-swap-networks-for-quantum-computing/

Cite this article:

Thanusri swetha J (2022), Optimizing SWAP networks for quantum computing, Anatechmaz, pp.68