Optimization of Si/SiGe Heterostructures for Large and Robust Valley Splitting in Silicon Qubits
- URL: http://arxiv.org/abs/2512.18064v1
- Date: Fri, 19 Dec 2025 21:02:49 GMT
- Title: Optimization of Si/SiGe Heterostructures for Large and Robust Valley Splitting in Silicon Qubits
- Authors: Abel Thayil, Lasse Ermoneit, Lars R. Schreiber, Thomas Koprucki, Markus Kantner,
- Abstract summary: Low and fluctuating valley splitting is one of the key challenges for electron spin qubits in silicon.<n>New design offers a wide-range tunability of the valley splitting ranging from about 200 $$eV to above 1 meV controlled by the vertical electric field.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The notoriously low and fluctuating valley splitting is one of the key challenges for electron spin qubits in silicon (Si), limiting the scalability of Si-based quantum processors. In silicon-germanium (SiGe) heterostructures, the problem can be addressed by the design of the epitaxial layer stack. Several heuristic strategies have been proposed to enhance the energy gap between the two nearly degenerate valley states in strained Si/SiGe quantum wells (QWs), e.g., sharp Si/SiGe interfaces, Ge spikes or oscillating Ge concentrations within the QW. In this work, we develop a systematic variational optimization approach to compute optimal Ge concentration profiles that boost selected properties of the intervalley coupling matrix element. Our free-shape optimization approach is augmented by a number of technological constraints to ensure feasibility of the resulting epitaxial profiles. The method is based on an effective-mass-type envelope-function theory accounting for the effects of strain and compositional alloy disorder. Various previously proposed heterostructure designs are recovered as special cases of the constrained optimization problem. Our main result is a novel heterostructure design we refer to as the "modulated wiggle well," which provides a large deterministic enhancement of the valley splitting along with a reliable suppression of the disorder-induced volatility. In addition, our new design offers a wide-range tunability of the valley splitting ranging from about 200 $μ$eV to above 1 meV controlled by the vertical electric field, which offers new perspectives to engineer switchable qubits with on-demand adjustable valley splitting.
Related papers
- Adaptive-Growth Randomized Neural Networks for Level-Set Computation of Multivalued Nonlinear First-Order PDEs with Hyperbolic Characteristics [38.23142730599331]
This paper proposes an Adaptive-Growth Randomized Neural Network (AG-RaNN) method for computing multivalued solutions of nonlinear first-order PDEs with hyperbolic characteristics.<n>Such solutions arise in geometric optics, seismic waves, semiclassical limit of quantum dynamics and high frequency limit of linear waves.
arXiv Detail & Related papers (2026-03-01T13:16:25Z) - Constrained Diffusion for Accelerated Structure Relaxation of Inorganic Solids with Point Defects [39.78130052914988]
First-principles simulations of point defects are costly due to large simulation cells and complex energy landscapes.<n>We propose a generative framework for simulating point defects, overcoming the limits of costly first-principles simulators.
arXiv Detail & Related papers (2026-02-22T12:34:55Z) - When Less is More: Approximating the Quantum Geometric Tensor with Block Structures [43.39839287869652]
We introduce a block-diagonal quantum geometric tensor that partitions the metric by network layers, analogous to block-structured Fisher methods such as K-FAC.<n> Experiments on Heisenberg and frustrated $J_1$-$J$ models show faster convergence, lower energy, and improved stability.
arXiv Detail & Related papers (2025-10-09T16:44:30Z) - Implementing a Universal Set of Geometric Quantum Gates through Dressed-State assisted STA [39.27725073249277]
We analyze the implementation of single-qubit gates in a two-level system driven by a microwave field.<n>We show how the dynamical phase can be canceled to obtain purely geometric operations.<n>We extend the protocol to construct non two-qubit gates, highlighting its feasibility for scalable quantum information processing.
arXiv Detail & Related papers (2025-09-10T16:14:34Z) - Quantum Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice [28.79836122081471]
We present the first implementation of the face-centered cubic (FCC) lattice model for protein structure prediction with a quantum algorithm.<n>We are able to recover ground state configurations for the 6-amino acid sequence KLVFFA under noise.
arXiv Detail & Related papers (2025-07-11T18:28:33Z) - Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation [43.719298075378425]
We propose efficient Orthogonal Fine-Tuning with Principal Subspace adaptation (PSOFT) for parameter-efficient fine-tuning.<n>Experiments on 35 NLP and CV tasks demonstrate that PSOFT offers a practical and scalable solution to simultaneously achieve semantic preservation, expressiveness, and multi-dimensional efficiency in PEFT.
arXiv Detail & Related papers (2025-05-16T13:26:48Z) - Max-Cut graph-driven quantum circuit design for planar spin glasses [0.0]
We present a graph-based approach for finding the ground state of spin glasses.<n>We employ a clustering strategy that organizes qubits into distinct groups based on the maximum cut technique.<n>Our results underscore the potential of hybrid quantum-classical methods in addressing complex optimization problems.
arXiv Detail & Related papers (2025-04-16T14:00:32Z) - Hole spin splitting in a Ge quantum dot with finite barriers [2.6485159291343963]
We study the low-energy spectrum of a single hole confined in a planar Ge quantum dot (QD)<n>The QD is sandwiched between two GeSi barriers of finite potential height grown along the [001] direction.<n>We investigate the impact from the top-gate electric field and the residual tensile strain on the qubit states.
arXiv Detail & Related papers (2025-03-14T05:59:04Z) - Theory of Valley Splitting in Si/SiGe Spin-Qubits: Interplay of Strain, Resonances and Random Alloy Disorder [0.0]
A critical challenge in strained Si/SiGe quantum wells is the existence of two nearly degenerate valley states at the conduction band minimum.<n>We develop a comprehensive envelope-function theory augmented by an empirical nonlocal pseudopotential model to incorporate the effects of alloy disorder, strain, and non-trivial resonances.
arXiv Detail & Related papers (2024-12-29T23:43:41Z) - Quantum algorithms for the variational optimization of correlated electronic states with stochastic reconfiguration and the linear method [0.0]
We present quantum algorithms for the variational optimization of wavefunctions correlated by products of unitary operators.
While an implementation on classical computing hardware would require exponentially growing compute cost, the cost (number of circuits and shots) of our quantum algorithms is in system size.
arXiv Detail & Related papers (2024-08-03T17:53:35Z) - Valley splitting depending on the size and location of a silicon quantum
dot [0.0]
Valley splitting of a silicon quantum dot plays an important role for the performance and scalability of silicon spin qubits.
We investigate the VS of a SiGe/Si/SiGe heterostructure as a function of the size and location of the silicon quantum dot.
arXiv Detail & Related papers (2023-10-26T13:44:01Z) - A self-consistent field approach for the variational quantum
eigensolver: orbital optimization goes adaptive [52.77024349608834]
We present a self consistent field approach (SCF) within the Adaptive Derivative-Assembled Problem-Assembled Ansatz Variational Eigensolver (ADAPTVQE)
This framework is used for efficient quantum simulations of chemical systems on nearterm quantum computers.
arXiv Detail & Related papers (2022-12-21T23:15:17Z) - Constrained Optimization via Quantum Zeno Dynamics [23.391640416533455]
We introduce a technique that uses quantum Zeno dynamics to solve optimization problems with multiple arbitrary constraints, including inequalities.
We show that the dynamics of quantum optimization can be efficiently restricted to the in-constraint subspace on a fault-tolerant quantum computer.
arXiv Detail & Related papers (2022-09-29T18:00:40Z) - Adaptive pruning-based optimization of parameterized quantum circuits [62.997667081978825]
Variisy hybrid quantum-classical algorithms are powerful tools to maximize the use of Noisy Intermediate Scale Quantum devices.
We propose a strategy for such ansatze used in variational quantum algorithms, which we call "Efficient Circuit Training" (PECT)
Instead of optimizing all of the ansatz parameters at once, PECT launches a sequence of variational algorithms.
arXiv Detail & Related papers (2020-10-01T18:14:11Z) - Experimental Realization of Nonadiabatic Holonomic Single-Qubit Quantum
Gates\\ with Optimal Control in a Trapped Ion [38.217839102257365]
We experimentally demonstrate nonadiabatic holonomic single qubit quantum gates with optimal control in a trapped Yb ion.
Compared with corresponding previous geometric gates and conventional dynamic gates, the superiority of our scheme is that it is more robust against control amplitude errors.
arXiv Detail & Related papers (2020-06-08T14:06:06Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.