Welcome to Eviden’s publication hub and discover the wealth and diversity of our tech experts’ opinions and vision.
Tech isn’t just about buzzwords. It’s about shaping the future for generations to come. Learn what our leaders think of the latest trends, what we anticipate as tectonic-shifting changes, and how you can take advantage of the latest technological advances, such as AI and quantum computing.
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Whitepapers
Technical papers
Approximate combinatorial optimization with Rydberg atoms: the barrier of interpretability
The article explores embedding techniques for solving MIS problems on complex graphs using neutral atom quantum computers.
Simulation and Benchmarking of Real Quantum Hardware
A newly published study introduces a robust noise model specifically designed for superconducting quantum systems. Validated on IQM’s 20-qubit chip and IBM Q Melbourne.
Quantum Computing: Promises, Achievements, and Challenges – Back to Basics
This comprehensive guide will help you understand the fundamental principles and get you started on your quantum journey.
The article has been published by Photoniques via EDP Sciences, which retains full copyright ownership.
Turning qubit noise into a blessing: Automatic state preparation and long-time dynamics for impurity models on quantum computers
Noise, typically seen as a limitation in quantum computing, is harnessed here to simulate strongly correlated systems via DMFT. Our approach reduces qubit requirements, enables longer simulations, and avoids ground state preparation.
The article has been published by arXiv which retains full copyright ownership.
Density-Matrix Renormalization Group Algorithm for Simulating Quantum Circuits with a Finite Fidelity
We develop a density-matrix renormalization group (DMRG) algorithm for the simulation of quantum circuits. This algorithm can be seen as the extension of the time-dependent DMRG from the usual situation of Hermitian Hamiltonian matrices to quantum circuits defined by unitary matrices.
The article has been published by APS Physical Review Journals which retains full copyright ownership.

Cutting Edge
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