Xanadu develops algorithm to reduce quantum computing costs by half

Xanadu Quantum Technologies Limited (NASDAQ: XNDU) (TSX: XNDU) announced an algorithmic advancement in Quantum Read-Only Memory that reduces expensive quantum operations by approximately 50%. The Toronto-based company said the breakthrough addresses a hardware bottleneck affecting near-term fault-tolerant quantum computers.

QROM serves as an algorithmic subroutine for loading classical data onto quantum computers and represents a major bottleneck for quantum applications. The previous state-of-the-art QROM performance had remained unchanged for seven years before Xanadu's development.

The innovation targets reducing Toffoli gates, among the most computationally expensive operations in quantum computing. For problem sizes constrained by available qubits, Xanadu's implementation cuts the Toffoli gate count within QROM modules by approximately half.

The optimization replaces traditional qubit "swapping" methods with a "copying" mechanism for QROM. The advancement also streamlines sequencing of consecutive QROM modules by eliminating multiple redundant data-unloading steps and substituting a single efficient unloading process.

"Our team focuses on making quantum computing practical for real-world use," said Dr. Christian Weedbrook, Xanadu Founder and Chief Executive Officer. "By halving QROM costs, we are using quantum algorithm developments to reduce the cost of quantum computation for many applications."

Founded in 2016, Xanadu develops photonic quantum computers designed to operate at room temperature. The company has secured over $500 million in funding and develops both hardware and software, including PennyLane, its open-source quantum computing platform.

You May Also Be Interested In

• FTI Consulting names Jerome Nyssen senior managing director in Australia
• Isoplus selects Navan to manage global travel and expense program
• EU approves AbbVie's Skyrizi for children with plaque psoriasis