Big cats: entanglement in 120 qubits and beyond
Ali Javadi-Abhari, Simon Martiel, Alireza Seif, Maika Takita, Ken X. Wei
TL;DR
The work addresses scalable preparation and certification of genuine multipartite entanglement in large GHZ states on superconducting qubits. It introduces an adaptive compiler that grows GHZ circuits on the hardware graph, leverages $ZZ$ back-propagation to maximize error-detection regions, and uses temporary uncomputation to mitigate dephasing, enabling a $120$-qubit GHZ state with a post-selection rate of $0.28$ and fidelity $F = 0.56(3)$. Fidelity is established through two complementary methods—parity oscillations and Direct Fidelity Estimation (DFE)—which are shown to be equivalent in this regime, with readout-mitigation integrated. The results are demonstrated across multiple IBM processors, illustrating reproducibility and the practical viability of large-scale entanglement benchmarks; code and data are publicly available for transparency and reuse.
Abstract
Entanglement is the quintessential quantum phenomenon and a key enabler of quantum algorithms. The ability to faithfully entangle many distinct particles is often used as a benchmark for the quality of hardware and control in a quantum computer. Greenberger-Horne-Zeilinger (GHZ) states, also known as Schrödinger cat states, are useful for this task. They are easy to verify, but difficult to prepare due to their high sensitivity to noise. In this Letter we report on the largest GHZ state prepared to date consisting of 120 superconducting qubits. We do this via a combination of optimized compilation, low-overhead error detection and temporary uncomputation. We use an automated compiler to maximize error-detection in state preparation circuits subject to arbitrary qubit connectivity constraints and variations in error rates. We measure a GHZ fidelity of 0.56(3) with a post-selection rate of 28%. We certify the fidelity of our GHZ states using multiple methods and show that they are all equivalent, albeit with different practical considerations.
