7 research outputs found
Real-time two-axis control of a spin qubit
Optimal control of qubits requires the ability to adapt continuously to their ever-changing environment. We demonstrate a real-time control protocol for a two-electron singlet-triplet qubit with two fluctuating Hamiltonian parameters. Our approach leverages single-shot readout classification and dynamic waveform generation, allowing full Hamiltonian estimation to dynamically stabilize and optimize the qubit performance. Powered by a field-programmable gate array (FPGA), the quantum control electronics estimates the Overhauser field gradient between the two electrons in real time, enabling controlled Overhauser-driven spin rotations and thus bypassing the need for micromagnets or nuclear polarization protocols. It also estimates the exchange interaction between the two electrons and adjusts their detuning, resulting in extended coherence of Hadamard rotations when correcting for fluctuations of both qubit axes. Our study highlights the role of feedback in enhancing the performance and stability of quantum devices affected by quasistatic noise
Correlations of spin splitting and orbital fluctuations due to 1/f charge noise in the Si/SiGe Quantum Dot
Fluctuations of electric fields can change the position of a gate-defined
quantum dot in a semiconductor heterostructure. In the presence of magnetic
field gradient, these stochastic shifts of electron's wavefunction lead to
fluctuations of electron's spin splitting. The resulting spin dephasing due to
charge noise limits the coherence times of spin qubits in isotopically purified
Si/SiGe quantum dots. We investigate the spin splitting noise caused by such
process caused by microscopic motion of charges at the semiconductor-oxide
interface. We compare effects of isotropic and planar displacement of the
charges, and estimate their densities and typical displacement magnitudes that
can reproduce experimentally observed spin splitting noise spectra. We predict
that for defect density of cm, visible correlations between
noises in spin splitting and in energy of electron's ground state in the
quantum dot, are expected.Comment: 6 pages, 4 figure
Blueprint of a Scalable Spin Qubit Shuttle Device for Coherent Mid-Range Qubit Transfer in Disordered Si/SiGe/SiO 2
Silicon spin qubits stand out due to their very long coherence times,
compatibility with industrial fabrication, and prospect to integrate classical
control electronics. To achieve a truly scalable architecture, a coherent
mid-range link that moves the electrons between qubit registers has been
suggested to solve the signal fan-out problem. Here, we present a blueprint of
such a m long link, called a spin qubit shuttle, which is
based on connecting an array of gates into a small number of sets. To control
these sets, only a few voltage control lines are needed and the number of these
sets and thus the number of required control signals is independent of the
length of this link. We discuss two different operation modes for the spin
qubit shuttle: A qubit conveyor, i.e. a potential minimum that smoothly moves
laterally, and a bucket brigade, in which the electron is transported through a
series of tunnel-coupled quantum dots by adiabatic passage. We find the former
approach more promising considering a realistic Si/SiGe device including
potential disorder from the charged defects at the Si/SiO layer, as well as
typical charge noise. Focusing on the qubit transfer fidelity in the conveyor
shuttling mode, we discuss in detail motional narrowing, the interplay between
orbital and valley excitation and relaxation in presence of -factors that
depend on orbital and valley state of the electron, and effects from
spin-hotspots. We find that a transfer fidelity of 99.9 \% is feasible in
Si/SiGe at a speed of 10\,m/s, if the average valley splitting and its
inhomogeneity stay within realistic bounds. Operation at low global magnetic
field \,mT and material engineering towards high valley splitting
is favourable for reaching high transfer fidelities.Comment: Streamlined presentation, the paper is still long but hopefully
easier to read. 25 pages of main text, 5 pages of appendice
Real-time two-axis control of a spin qubit
Abstract Optimal control of qubits requires the ability to adapt continuously to their ever-changing environment. We demonstrate a real-time control protocol for a two-electron singlet-triplet qubit with two fluctuating Hamiltonian parameters. Our approach leverages single-shot readout classification and dynamic waveform generation, allowing full Hamiltonian estimation to dynamically stabilize and optimize the qubit performance. Powered by a field-programmable gate array (FPGA), the quantum control electronics estimates the Overhauser field gradient between the two electrons in real time, enabling controlled Overhauser-driven spin rotations and thus bypassing the need for micromagnets or nuclear polarization protocols. It also estimates the exchange interaction between the two electrons and adjusts their detuning, resulting in extended coherence of Hadamard rotations when correcting for fluctuations of both qubit axes. Our study highlights the role of feedback in enhancing the performance and stability of quantum devices affected by quasistatic noise