EMU-TN is the first on-demand emulator specializing in quantum dynamics for neutral atoms, allowing users to design quantum algorithms and complicated hybrid classical-quantum workflows. PASQAL’s platform will dramatically boost research in the burgeoning quantum industry while also allowing a diverse range of engineers, scientists, and students to investigate the potential of our quantum devices to solve the most pressing challenges in science and technology.
Integrating quantum processing units (QPUs) into high-performance computing centres is a clever method to maximize the benefits of quantum technologies, solving complex industrial problems in a reasonable time and with high accuracy compared to classical computers. The concept behind this hybrid classical-quantum technique is to assign certain routines to the QPU while performing massive computing tasks.
Nevertheless, access to quantum computers is limited, thus expanding the gap between firms that require cutting-edge technology to build their applications and technology. It is critical to mimic quantum devices to give more people equal access to quantum computing, speed the integration process of QPUs in High-Performance Computing centres, and tailor the QPU function in hybrid, complicated workflows.
A two-level quantum state system in quantum computing represents each qubit. The number of quantum states we must handle to compute the dynamics of a QPU grows exponentially with the number of qubits. Its exponential development makes it difficult for classical computers to replicate their dynamics, encouraging researchers to develop approaches to simplify calculations for many qubits.
The first emulator to mimic the circuitry of neutral atoms
Emulators are traditional computer programs that emulate the dynamics of QPUs for specific architectures. PASQAL developed the first emulator for neutral atom quantum processors, EMU-TN.
PASQAL aims to fine-tune lasers upon neutral atoms in neutral atom processors to create qubits or quantum information units. Neutral atom quantum processing units (QPUs) are among the most scalable quantum technologies accessible, allowing us to control hundreds of qubits to solve complicated problems. This is a terrific characteristic for quantum computers when calculating; nevertheless, it is difficult for conventional computers to imitate QPUs.
Classical-Quantum Hybrid Approach
EMU-TN is based on Tensor Networks, a method for improving how quantum dynamics escalate with the number of qubits while repeating correct results.
Tensor networks are strong structures that can represent complex quantum systems efficiently. They are based on the concept of tensors, which are multidimensional arrays of integers used to compress information about the quantum system. Using a succession of specialized algorithms, useful properties of the ‘real’ quantum system can be effectively computed even as the system size expands.
Their new emulator, built to be integrated into high-performance computing clusters, recreates the programming interface of our QPUs. It will assist users in evaluating their hybrid classical-quantum workflow and estimating the quantum resources required to run their algorithms. EMU-TN also simulates flawless, noiseless computers and noise that may emerge during a calculation, allowing users to diagnose the QPU’s performance.
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