QGIDC: The Quantum Circuit Simulating Gravity-Induced Decoherence on Real Quantum Hardware

Sayantani Bera, Sandro Donadi, Kinjalk Lochan +1 more

Zuhair Ahmed

Abstract This study presents a groundbreaking experimental demonstration of gravity induced decoherence in quantum systems, achieved through the development and execution of the Quantum Gravity-Induced Decoherence Circuit (QGIDC) on IBM quantum hardware. This research provides the first measurable evidence of how gravitational effects can influence quantum entanglement, building upon and ex tending theoretical frameworks proposed by prominent physicists such as Roger Penrose and Gerard ’t Hooft. The experiments were conducted using both Qiskit simulators and real IBM quantum computers, including the advanced IBM Bris bane backend, with multiple repetitions to ensure scientific reproducibility. A com prehensive set of metrics—fidelity, purity, entropy, trace distance, measurement counts, and Bloch vector dynamics—were meticulously analyzed to differentiate gravity-induced noise from standard environmental decoherence. Additionally, a mathematical model is introduced to quantify the decoherence rate, while Bloch sphere visualizations offer a visual representation of qubit state evolution under gravitational influence. This work, completed as of 06:12 PM on Monday, May 19, 2025, marks the first empirical validation of gravity-induced decoherence, estab lishing a significant milestone in the quest to reconcile quantum mechanics with general relativity.

Rodolfo Gambini, Rafael A. Porto, Jorge A. Pullin

Thomas Grurl, Jürgen Fuß, Robert Wille

By using quantum mechanical effects, quantum computers promise significant speedups in solving problems intractable for conventional computers. However, despite recent progress they remain limited in scaling and availability---making quantum software and hardware development heavily reliant on quantum simulators running on conventional hardware. However, most of those simulators mimic perfect quantum computers and, hence, ignore the fragile nature of quantum mechanical effects which frequently yield to decoherence errors in real quantum devices. Considering those errors during the simulation is complex, but necessary in order to tailor quantum algorithms for specific devices. Thus far, most state-of-the-art simulators considering decoherence errors rely on (exponentially) large array representations. As an alternative, simulators based on decision diagrams have been shown very promising for simulation of quantum circuits in general, but have not supported decoherence errors yet. In this work, we are closing this gap. We investigate how the consideration of decoherence errors affects the simulation performance of approaches based on decision diagrams and propose advanced solutions to mitigate negative effects. Experiments confirm that this yields improvements of several orders of magnitudes compared to a naive consideration of errors.

Jesús Unturbe

Mikhail Pavlov

Abstract This practical guide explores the use of IBM Quantum cloud simulators for modeling and analyzing quantum circuits under realistic conditions. Using the IBM Q platform and Qiskit Runtime, the work demonstrates how to configure the ibmq_qasm_simulator and map a basic noise model derived from a physical IBM Quantum™ device. The guide focuses on: Setting up the ibmq_qasm_simulator in Qiskit. Extracting and applying a hardware-based noise model from a real IBM Quantum backend. Performing noisy simulations of QuantumCircuits. Using Sampler and Estimator primitives in Qiskit Runtime to analyze circuit outputs. Studying the impact of realistic quantum errors such as decoherence, gate infidelity, and readout noise. By incorporating noise models into simulations, researchers and developers can better understand how quantum circuits behave on real hardware, optimize algorithms before deployment, and design more robust quantum programs. This approach bridges the gap between idealized simulations and physical quantum devices, making it a critical step toward practical quantum application development.