Quantum simulation traditionally relies on unitary dynamics, inherently imposing efficiency
constraints on the generation of intricate entangled states. In principle, these limitations can …

Quantum computing involves the preparation of entangled states across many qubits. This
requires efficient preparation protocols that are stable to noise and gate imperfections. Here …

In dynamic quantum circuits, classical information from midcircuit measurements is fed
forward during circuit execution. This emerging capability of quantum computers confers …

Adaptive quantum circuits, which combine local unitary gates, midcircuit measurements, and
feedforward operations, have recently emerged as a promising avenue for efficient state …

Measurements and feedback have emerged as powerful resources for creating many-body
quantum states. However, a detailed understanding has been restricted to fixed-point …

Preparing long-range entangled states poses significant challenges for near-term quantum
devices. It is known that measurement and feedback (MF) can aid this task by allowing the …

Classical optimization of parameterized quantum circuits is a widely studied methodology for
the preparation of complex quantum states, as well as the solution of machine learning and …

The Linear Combination of Unitaries (LCU) method is a powerful scheme for the block
encoding of operators but suffers from high overheads. In this work, we discuss the …

When using unitary gate sequences, the growth in depth of many quantum circuits with
output size poses significant obstacles to practical quantum computation. The quantum fan …

We explore the states of matter arising from the spontaneous symmetry breaking (SSB) of
$\mathbb {Z} _2 $ non-onsite symmetries. In one spatial dimension, we construct a …