Digital Twins Now Simulate Quantum Computers with Atomic Precision

Shannon Whitlock, University of Strasbourg and CNRS, and colleagues have introduced AtomTwin.jl, a new open-source Julia package that bridges the gap between theoretical models and physical neutral-atom quantum processors. The physics-native digital twin framework models atomic systems, optical tweezers, and laser fields directly from physical parameters, eliminating the need for manual Hamiltonian definition. The package’s high-performance solvers and extensible design, demonstrated through the preparation of a logical Bell state with ytterbium-171 atoms, represent a key advance in the ability to simulate and optimise future atomic quantum devices. Physics-native simulation streamlines neutral-atom quantum processor modelling and Bell state A four-fold improvement in simulation fidelity for logical Bell state preparation has been seen compared to methods requiring manual Hamiltonian definition. Accurately modelling neutral-atom quantum processors previously necessitated painstaking construction of these Hamiltonians, a process limiting both speed and scalability. AtomTwin.jl bypasses this entirely by directly incorporating physical parameters. This physics-native approach, utilising the Julia programming language, known for its high performance and ease of use in scientific computing, allows for thorough modelling of atoms, optical tweezers, and laser fields, alongside realistic noise processes. The conventional approach to quantum simulation often relies on abstracting the physical system into a Hamiltonian, a mathematical operator describing the total energy of the system. Constructing this Hamiltonian for even moderately complex neutral-atom arrays is a laborious and error-prone task, requiring significant expertise and computational resources. AtomTwin.jl fundamentally alters this workflow by directly accepting physical parameters such as atom positions, laser wavelengths, and trap frequencies, effectively building the Hamiltonian “under the hood”. The package’s architecture enables end-to-end simulations, and a logical Bell state was successfully prepared using four ytterbium-171 atoms held in moveable optical tweezers. Realistic atomic structure, spatially varying laser fields, and modelled noise processes were all incorporated into the simulation. These tweezers, created using highly focused laser beams, precisely control the position of individual atoms, allowing for programmable qubit arrangements. The simulation incorporates the internal electronic structure of ytterbium-171, accounting for relevant energy levels and transition rates. Furthermore, the model includes the effects of laser detuning and power broadening, crucial parameters in controlling atom-light interactions. The inclusion of noise processes, such as spontaneous emission and laser frequency fluctuations, is vital for assessing the robustness of quantum operations. Benchmarks revealed AtomTwin.jl achieves two-level Rabi oscillations with dephasing and collective Rydberg Rabi oscillations in the blockade regime, validating its accuracy against established toolboxes. These benchmarks demonstrate the package’s ability to accurately simulate fundamental quantum phenomena relevant to neutral-atom quantum computing, such as coherent control of atomic qubits and the suppression of unwanted interactions. This highlights its potential for optimising qubit architectures, including programmable trap geometries and in-sequence atom transport. The ability to rapidly simulate different trap configurations allows researchers to explore novel qubit layouts that maximise connectivity and minimise errors. Optimising atom transport sequences, the movement of atoms between different locations in the array, is crucial for implementing complex quantum algorithms. While current simulations do not yet account for the complexities of long-duration coherence or the full range of imperfections present in fabricated hardware, it represents a major step towards efficient quantum device optimisation. Long-duration coherence, the ability to maintain quantum information for extended periods, is limited by various decoherence mechanisms. Future work will focus on extending the model to incorporate these factors, improving the fidelity of simulations and bridging the gap between simulation and real-world performance. This includes modelling the effects of vacuum fluctuations, stray electric fields, and imperfections in the optical system. Direct hardware physics incorporation streamlines neutral-atom quantum processor simulation Simulation is increasingly relied upon to design and optimise neutral-atom quantum processors, yet accurately modelling these systems remains a substantial challenge. AtomTwin.jl offers a compelling alternative to traditional methods by directly incorporating the physics of the hardware, bypassing the error-prone process of manual Hamiltonian construction. Benchmarking against existing toolboxes suggests a competitive landscape, prompting investigation into the precise computational advantages offered by this new approach. The increasing complexity of neutral-atom quantum processors, with arrays now routinely exceeding 50 atoms, demands more efficient and accurate simulation tools. Traditional methods struggle to scale to these sizes due to the computational cost of constructing and solving the Hamiltonian. The software’s ability to model complex systems offers a significant advantage in the field of quantum computing. Existing software often demands experts manually define a “Hamiltonian”, a complex mathematical description of the system’s energy, which is prone to errors and limits flexibility. This physics-native framework models atomic systems, optical tweezers, focused laser beams used to manipulate atoms, and laser fields, offering a thorough digital twin for quantum hardware. The digital twin concept allows researchers to virtually prototype and test different hardware designs before committing to expensive and time-consuming fabrication. This accelerates the development cycle and reduces the risk of costly errors. Initially, accurately modelling complex neutral-atom quantum processors presented challenges, but this approach simplifies development and potentially unlocks more accurate simulations of increasingly complex quantum processors. By directly incorporating physical parameters, AtomTwin.jl circumvents the need for manually defined Hamiltonians, equations describing a system’s total energy. This approach will likely accelerate the design of more powerful and reliable quantum computers, paving the way for a new era of quantum processing and offering a valuable tool for researchers exploring novel quantum algorithms and architectures. The open-source nature of AtomTwin.jl further encourages collaboration and innovation within the quantum computing community, allowing researchers to build upon and extend the package’s capabilities. The package is designed to be extensible, allowing users to easily incorporate new physical models and noise processes as they become relevant. This adaptability is crucial for keeping pace with the rapid advancements in neutral-atom quantum computing technology. The researchers developed AtomTwin.jl, an open-source software package for simulating neutral-atom quantum processors using just four ytterbium-171 atoms. It offers a new approach by modelling physical systems directly, rather than requiring users to manually define complex mathematical equations. This simplifies the simulation of quantum hardware and allows for virtual prototyping of designs, potentially accelerating development. The package is designed to be adaptable, accommodating new atomic species and hardware components as the field advances. 👉 More information 🗞 AtomTwin.jl: a physics-native digital twin framework for neutral-atom quantum processors 🧠 ArXiv: https://arxiv.org/abs/2604.18531 Tags: