Superconducting qubits#
On this page, we provide a number of turnkey experiments for different architecture implementations of superconducting hardware. Qblox offers a range of products that are designed specifically for this type of QPU architecture. Throughout the experiments, we use the Cluster for microwave readout (QRM-RF), microwave control (QCM-RF) and flux control (direct QCM).
Transmons#
Transmons are in general controlled with 4-8GHz pulses on qubit/coupler drive lines, and baseband (<400MHz) pulses on top of a DC offset on flux lines. These qubits are coupled to resonators typically in the 5-10GHz range, which can be read out through a shared feedline with pulses on the order of 100ns-10\(\mu\)s.
Architecture
Typical Qblox control electronics setup for a QPU of five fixed-frequency transmons.#
Architectures with fixed-frequency qubits and couplers save on the number of wires inside the fridge, as there are no flux lines present. Consequently this approach reduces the hardware cost and complexity and simplifies the tuneup, at the price of more complex single- and two-qubit gate implementations caused by the always-on coupling between neighboring qubits.
Getting started
A startup guide for fixed-frequency transmon qubits can be found here.
Full application guide
A notebook containing all experiment for this architecture can be found here.
Tuneup
Benchmarking
Architecture
Typical Qblox control electronics setup for a QPU of five flux-tunable transmons.#
In architectures with tunable qubits and fixed couplers, the qubit frequencies can be changed by playing a signal on the qubit’s flux line, effectively tuning the interaction strength between two neighboring qubits. Compared to an architecture where all qubit and coupler frequencies are fixed, this increases hardware overhead as well as the number of steps in a tuneup procedure. However, this design helps to mitigate crosstalk as inter-qubit coupling can be completely turned off when idling.
Getting started
A startup guide for flux-tunable transmon qubits can be found here.
Full application guide
A notebook containing all experiment for this architecture can be found here.
Tuneup
Benchmarking
