Steve McDowell is chief analyst at NAND Research. Steve is a technologist with over 25 years of deep industry experience in a variety of strategy, engineering, and strategic marketing roles, all with the unifying theme of delivering innovative technologies into the enterprise infrastructure market.
Performance is everything in the quantum computing world. As quantum hardware evolves, the tools that allow developers to write, manipulate, and optimize quantum programs must keep pace. IBM Quantum computing promises to solve problems currently intractable for classical computers, including driving breakthroughs in fields like drug discovery, materials science, financial modeling and optimization. However, the hardware and software ecosystems must evolve in lockstep to unlock this potential.
As quantum processors grow in size and complexity, with more qubits and intricate gate operations, the ability to quickly transpile circuits with fewer errors is critical. IBM is delivering significant innovation in this area.IBM released benchmark results measuring critical quantum development metrics, such as how long an SDK takes to build, manipulate, and transpile quantum circuits — essential tasks for any quantum computing algorithmic workflow.
Qiskit demonstrated a 36% reduction in circuit depth for larger circuits . Circuit depth refers to the number of sequential operations that must be performed; a lower depth means that the computation can be executed faster and with fewer opportunities for error.: Using AI, Qiskit reduces the complexity of quantum circuit transpilation to enhance the performance of quantum algorithms on noisy intermediate-scale quantum, or NISQ, devices.
Qiskit’s AI-powered transpiler is another critical development, especially for developers tackling large circuits with over 100 qubits. The AI-enhanced tool reduces the depth and gate count of circuits by up to 36% and 24%, respectively, which significantly boosts the performance and reliability of quantum programs. This is crucial as quantum processors are still prone to error, and every reduction in gate count or circuit depth helps mitigate these issues.
Qiskit Quantum Computing Quantum Algorithm Software Development TKET Bqskit Transpiler
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