Electrostatic simulation for quantum computing
One rigorous Method of Moments formulation across the entire design hierarchy — antenna, array, radome, vehicle — with proprietary adaptive compression that scales with your hardware instead of hitting a memory wall. No asymptotic approximations. No model simplification. The same physics at every scale.
“Nullspace ES has been a game-changer for our design work.
It allows us to simulate how our ion traps behave in order to calculate and predict the ion movement more precisely.
With Nullspace ES software, we can explore the effects of varying geometries and configurations on ion behavior, which is critical for enhancing the performance and scalability of our quantum computing systems.”
Dr. Björn Lekitsch, AG Quantum Group in Johannes Gutenberg Mainz University
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Near fields and potentials
Arbitrary electrode excitations
Fast direct solver for large geometries
Multi-CPU/core
Multiple symmetry Planes
Matlab/Python interface
Paraview & HDF5 export
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Particle accelerators
Ion trap design for quantum computing
Particle dynamics
Capacitance extraction
Ion Trap Control Potentials
Challenges in Ion Trap Design
Historically, the lack of robust design tools and complex experiments forced engineers to develop relatively simple ion trap architectures. Legacy simulation tools are not purpose-built for ion trap design, and lead to higher prototyping costs and longer production schedules.
Despite some advancements, the is still a lack of specialized software for design and analysis of quantum architecture. Designers are forced to use unreliable approximations or sub-optimal solvers, limiting the accuracy and scalability of ion trap designs for advanced quantum computing.
And that’s where Nullspace ES comes in.
What Sets Nullspace ES Apart?
Nullspace ES combines fast, direct solver technology with a flexible Python interface to drive innovation in ion trap design.
It has been purpose built to support the next generation of trap technologies, enabling large-scale computation without the loss of accuracy. Nullspace ES efficiently handles simulations from dozens of electrodes on standard laptops to hundreds on large workstations.
Geometry optimization is crucial for new designs. Paired with our CAD and meshing software, Nullspace Prep, users can specify complex geometries via a graphical interface or Python API. This flexibility allows integration with existing Python workflows, offering trap designers the best tools for rapid, accurate, and sophisticated design optimization.
How much are you leaving on the table?
The studies you skip, the designs you simplify, the deadlines you stretch. What if you didn't have to?