We study theoretically the low-energy hole states in Si, Ge, and Ge/Si core/shell nanowires (NWs). The NW core our model has a rectangular cross section, results for square section are presented detail. In case of Ge NWs, we obtain very good agreement with previous theoretical cylindrically symmetric NWs. particular, NWs allow an unusually strong electrically controllable spin-orbit interaction (SOI) Rashba type. find that dominant contribution to SOI is "direct interaction" (DRSOI), which...

The authors use double quantum dot transport measurements to reveal the presence of a strong spin-orbit interaction in Ge/Si nanowires. They also show that this gives rise g-factor renormalization with magnetic field.

NP-hard problems are not believed to be exactly solvable through general polynomial time algorithms. Hybrid quantum-classical algorithms address such combinatorial have been of great interest in the past few years. Such heuristic nature and aim obtain an approximate solution. Significant improvements computational and/or ability treat large some principal promises quantum computing this regard. The hardware, however, is still its infancy current noisy intermediate-scale (NISQ) computers able...

Abstract Semiconductor nanowires have been playing a crucial role in the development of nanoscale devices for realization spin qubits, Majorana fermions, single photon emitters, nanoprocessors, etc. The monolithic growth site‐controlled is prerequisite toward next generation that will require addressability and scalability. Here, combining top‐down nanofabrication bottom‐up self‐assembly, Ge wires on prepatterned Si (001) substrates with controllable position, distance, length, structure...

In this manuscript, we calculate the ground state energy of benzene under spatial deformations by using variational quantum eigensolver (VQE). The primary goal study is estimating feasibility computing ansatze on near-term devices for solving problems with large number orbitals in regions where classical methods are known to fail. Furthermore, combining our advanced simulation platform real computers, provided an analysis how noise, inherent affects results. centers hardware efficient and...

Matrix product states (MPSs) and matrix operators (MPOs) have been proven to be a powerful tool study quantum many-body systems but are restricted moderately entangled as the number of parameters scales exponentially with entanglement entropy. While MPSs can efficiently find ground one-dimensional systems, their capacities limited when simulating dynamics, where increase ballistically time. On other hand, devices appear natural platform encode perform time evolution correlated states....

We study the coupling between a singlet-triplet qubit realized in double quantum dot to topological by spatially well-separated Majorana bound states. demonstrate that can be leveraged for readout of and supplementing gate operations cannot performed braiding Furthermore, we extend our setup network hybrid qubits paves way scalable fault-tolerant computing.

Abstract Despite the recent progress in quantum computational algorithms for chemistry, there is a dearth of simulations focused on material science applications, especially energy sector, where next generation sorbing materials are urgently needed to battle climate change. To drive their development, computing applied problem CO 2 adsorption Al-fumarate Metal-Organic Frameworks. Fragmentation strategies based Density Matrix Embedding Theory applied, using variational algorithm as fragment...

Quantum computers are devices, which allow more efficient solutions of problems as compared to their classical counterparts. As the timeline developing a quantum-error corrected computer is unclear, quantum computing community has dedicated much attention algorithms for currently available noisy intermediate-scale (NISQ). Thus far, within NISQ, optimization one most commonly studied and quite often tackled with approximate algorithm (QAOA). This best known graph partitions maximal separation...

The simulation of systems interacting fermions is one the most anticipated applications quantum computers. interesting simulations will require a fault-tolerant computer, and building such device remains long-term goal. However, capabilities existing noisy processors have steadily improved, sparking an interest in running that, while not necessarily classically intractable, may serve as benchmarks help elucidate challenges to achieving practical on near-term devices. Systems non-interacting...

Abstract Majorana-zero-modes (MZMs) were predicted to exist as edge states of a physical system called the Kitaev chain. MZMs should host particles that are their own antiparticles and could be used basis for qubit which is robust-to-noise. However, all attempts prove existence gave inconclusive results. Here, chain exactly solved with quantum computing methodology properties probed by generating eigenstates Kitev Hamiltonian on 3 noisy qubits publicly available computer. After an...

Hybrid quantum-classical algorithms have been proposed to circumvent noise limitations in quantum computers. Such delegate only a calculation of the expectation value computer. Among them, variational eigensolver has implemented study molecules and condensed matter systems on small size Condensed described by Hubbard model exhibit rich phase diagram alongside exotic states matter. In this paper we try answer question: How much underlying physics 1D chain is problem-inspired Hamiltonian...

The Trotterized Unitary Coupled Cluster Single and Double (UCCSD) ansatz has recently attracted interest due to its use in Variation Quantum Eigensolver (VQE) molecular simulations on quantum computers. However, when the size of molecules increases, UCCSD becomes less interesting as it cannot achieve sufficient accuracy. Including higher-order excitations is therefore mandatory recover UCC's missing correlation effects. Here, we extend UCC approach via addition (true) Triple T introducing...

Abstract Quantum chemistry (QC) is one of the most promising applications quantum computing. However, present processing units (QPUs) are still subject to large errors. Therefore, noisy intermediate‐scale (NISQ) hardware limited in terms qubit counts/circuit depths. Variational eigensolver (VQE) algorithms can potentially overcome such issues. Here, we introduce OpenVQE open‐source QC package. It provides tools for using and developing chemically‐inspired adaptive methods derived from...

We theoretically study the interplay of spin-orbit and hyperfine interactions in dynamical nuclear polarization two-electron semiconductor double quantum dots near singlet $(S)$ - triplet $(T_+)$ anticrossing. The goal scheme under is to extend $(T_0)$ qubit decoherence time $T_2^{*}$ by dynamically transferring from electron spins spins. This transfer achieved cycling over $S-T_+$ Here, we investigate, both quantitatively qualitatively, how this mediated influenced Rashba Dresselhaus...

In this theoretical study we qualitatively and quantitatively investigate the electric dipole spin resonance (EDSR) in a single Si/SiGe quantum dot presence of magnetic field gradient, e.g., produced by ferromagnet. We model situation which control electron states is achieved applying an oscillatory field, inducing real-space oscillations inside dot. One goals our to present microscopic theory valley dependent $g$-factors dots how relaxation combined with $g$-factor leads novel dephasing...

In this theoretical work we investigate superexchange, as a means of indirect exchange interaction between two single electron spin qubits, each embedded in semiconductor quantum dot (QD). The is mediated by an intermediate, empty QD. Our findings suggest the existence first order "super sweet spots", which qubit operations implemented superexchange are simultaneously insensitive to charge noise and errors due spin-orbit interaction. We also find that sign can be changed varying energy detunings QDs.

We propose a method to manipulate the state of single electron spin in semiconductor quantum dot (QD). The manipulation is achieved by tunnel coupling QD, labeled $L$, and occupied with an adjacent $R$, which not but having energy linearly varying time. identify parameter regime complete population transfer between eigenstates $|L\ensuremath{\uparrow}\ensuremath{\rangle}$ $|L\ensuremath{\downarrow}\ensuremath{\rangle}$ without occupying QD. This convenient due fact that can be done...

NP-hard problems are not believed to be exactly solvable through general polynomial time algorithms. Hybrid quantum-classical algorithms address such combinatorial have been of great interest in the past few years. Such heuristic nature and aim obtain an approximate solution. Significant improvements computational and/or ability treat large some principal promises quantum computing this regard. The hardware, however, is still its infancy current Noisy Intermediate Scale Quantum (NISQ)...

Quantum Chemistry (QC) is one of the most promising applications Computing. However, present quantum processing units (QPUs) are still subject to large errors. Therefore, noisy intermediate-scale (NISQ) hardware limited in terms qubits counts and circuit depths. Specific algorithms such as Variational Eigensolvers (VQEs) can potentially overcome issues. We introduce here a novel open-source QC package, denoted Open-VQE, providing tools for using developing chemically-inspired adaptive...

Matrix Product States (MPS) and Operators (MPO) have been proven to be a powerful tool study quantum many-body systems but are restricted moderately entangled states as the number of parameters scales exponentially with entanglement entropy. While MPS can efficiently find ground 1D systems, their capacities limited when simulating dynamics, where increase ballistically time. On other hand, devices appear natural platform encode perform time evolution correlated states. However, accessing...

Quantum computers are devices, which allow more efficient solutions of problems as compared to their classical counterparts. As the timeline developing a quantum-error corrected computer is unclear, quantum computing community has dedicated much attention algorithms for currently available noisy intermediate-scale (NISQ). Thus far, within NISQ, optimization one most commonly studied and quite often tackled with approximate algorithm (QAOA). This best known graph partitions maximal separation...

Quantum computers are devices, which allow more efficient solutions of problems as compared to their classical counterparts. As the timeline developing a quantum-error corrected computer is unclear, quantum computing community has dedicated much attention algorithms for currently available noisy intermediate-scale (NISQ). Thus far, within NISQ, optimization one most commonly studied and quite often tackled with approximate algorithm (QAOA). This best known graph partitions maximal separation...

In this theoretical manuscript I propose a scheme for entangling single electron semiconductor spin qubit with charge in triangular triple quantum dot configuration. Two out of three dots are used to define qubit. Furthermore, the is embedded Zeeman sub-levels third dot. Combining gates CNOT allows one construct SWAP gate, and therefore use as long-lived memory

Despite the recent progress in quantum computational algorithms for chemistry, there is a dearth of simulations focused on material science applications, especially energy sector, where next generation sorbing materials are urgently needed to battle climate change. To drive their development, computing applied problem CO$_2$ adsorption Al-fumarate Metal-Organic Frameworks. Fragmentation strategies based Density Matrix Embedding Theory applied, using variational algorithm as fragment solver,...