Researchers Map Charge States Onto Qubits with 99.37% Fidelity

Scientists at the University of Chinese, led by Yao-Yao Jiang, have developed a new method for highly accurate charge-parity detection utilising superconducting qubits, paving the way for the search for rare and elusive particles. They demonstrate high-fidelity mapping of charge-parity states onto a transmon qubit, achieving single-qubit gate fidelity up to 99.96% and a charge-parity mapping fidelity of 99.37%. Their randomised benchmarking technique allows for continuous monitoring of charge-parity states with over 93.4% fidelity, identifying qubit readout as the key source of error in the process. The findings lay a strong foundation for future experiments designed to detect ultra-low energy particles.

Superconducting qubit demonstrates near-perfect charge parity mapping for particle detection

A charge-parity mapping fidelity of 99.37% represents a considerable improvement over previous 91-92% levels achieved with Ramsey-based pulse sequences. This breakthrough surpasses a vital threshold for reliably detecting subtle electrical charge changes, as insufficient fidelity previously hampered the search for ultra-low energy particles. The significance lies in the ability to distinguish between an even and odd number of electrons, a crucial capability for detectors designed to capture interactions with weakly interacting massive particles (WIMPs) or axions, hypothetical particles proposed as dark matter candidates. An offset-charge-tunable transmon qubit, a type of superconducting circuit fabricated using Josephson junctions, was employed to map whether an electrical charge is even or odd onto a qubit state with unprecedented accuracy. Transmon qubits are favoured for their relative insensitivity to charge noise, a common source of decoherence in superconducting circuits, and the offset-charge tunability allows for precise control over the qubit’s energy levels.

Continuous monitoring of these charge-parity states also demonstrated over 93.4% fidelity, opening new possibilities for advanced detector technologies and furthering the quest to understand elusive phenomena. Single-qubit gate fidelity reached 99.96% using the offset-charge-tunable transmon qubit, a superconducting circuit designed for sensitive charge detection. This high level of control was important in realising 99.37% fidelity charge-parity mapping, a sharp leap forward in detecting subtle electrical charge changes, and the technique maps whether a charge is even or odd onto the qubit’s state. The randomised benchmarking protocol, a standard method for characterising gate fidelities, involved applying a sequence of randomly chosen single-qubit gates and measuring the resulting state. This allows for the estimation of the average gate error and provides a robust measure of qubit performance. Stable and reliable measurement was also successfully demonstrated with over 93.4% fidelity at a 4-μs sampling interval, indicating consistent performance. Error analysis revealed that qubit readout currently limits performance, despite these advances, and the demonstrated fidelities do not yet account for the complexities of scaling this technology to larger arrays or fully shielding it from environmental interference. The readout process, which involves measuring the qubit state, introduces errors due to imperfections in the measurement apparatus and the inherent probabilistic nature of quantum measurement.

Enhanced charge-parity detection boosts sensitivity for elusive particle searches

Superconducting qubits offer a promising route to detecting incredibly faint energy signals, potentially revealing the existence of previously unknown particles. These signals, often deposited as tiny changes in charge, require detectors with exceptional sensitivity and fidelity. This delivers a substantial leap in the accuracy of charge-parity detection, discerning whether a charge is even or odd, a vital ability for these sensitive detectors. The ability to accurately determine charge-parity is particularly important in searches for coherent elastic scattering of dark matter particles, where the interaction strength is expected to be extremely weak. Qubit readout was pinpointed as the limiting factor in overall performance, a challenge echoed in other recent work exploring measurement-induced state transitions in these systems. Improving readout fidelity is therefore a critical step towards realising the full potential of superconducting qubits for particle detection.

This advance in charge-parity detection remains significant, acknowledging recent findings highlighting qubit readout as a performance bottleneck. Charge-parity refers to whether an electrical charge is even or odd, and accurately discerning this is vital for detecting extremely weak signals. Improved fidelity, reaching 99.37%, means fewer false positives when searching for elusive particles, enhancing the potential for rare event searches. False positives can arise from background noise or imperfections in the detector, and reducing their occurrence is essential for extracting meaningful signals. Vital for spotting faint signals from potential new particles, 99.37% fidelity in detecting charge-parity was achieved. The transmon qubit’s design, incorporating a large Josephson junction, contributes to its reduced sensitivity to charge noise, allowing for more stable and accurate charge-parity measurements.

This improved accuracy minimises false positives during rare event searches, establishing a strong base for probing ultra-low energy physics. This advance establishes a new standard for detecting subtle changes in electrical charge using superconducting qubits, artificial atoms built from superconducting circuits uniquely sensitive to tiny energy fluctuations. Mapping charge-parity at 99.37% fidelity, determining if a charge is even or odd, and maintaining over 93.4% fidelity during continuous monitoring represents a key step towards identifying ultra-low energy particles. The randomised benchmarking protocol provides a statistically rigorous method for assessing the performance of the charge-parity mapping and monitoring process. Identifying qubit readout as the primary source of error now directs future optimisation efforts, and improving this aspect of the system will be crucial for scaling up detector arrays. Future work will likely focus on developing improved readout schemes, such as utilising Josephson parametric amplifiers to enhance the signal-to-noise ratio, and implementing advanced error correction techniques to mitigate the effects of readout errors. Furthermore, scaling this technology to larger arrays of qubits will require careful consideration of crosstalk and coherence times.

The researchers achieved high-fidelity mapping of charge-parity states onto a qubit, reaching 99.37% fidelity and continuous monitoring at over 93.4% fidelity. This is important because it allows for more accurate detection of extremely weak signals, reducing false positives in rare event searches. The study identified qubit readout as the largest source of error, suggesting this is a key area for future improvement. The authors indicate that further work will focus on optimising readout schemes and potentially scaling up to larger qubit arrays.

👉 More information
🗞 Characterizing charge-parity detection based on an offset-charge-tunable transmon qubit via randomized benchmarking
🧠 ArXiv: https://arxiv.org/abs/2604.02809

Rohail T.

Rohail T.

As a quantum scientist exploring the frontiers of physics and technology. My work focuses on uncovering how quantum mechanics, computing, and emerging technologies are transforming our understanding of reality. I share research-driven insights that make complex ideas in quantum science clear, engaging, and relevant to the modern world.

Latest Posts by Rohail T.:

AI Drafting Tools Need Human Oversight to Ensure Physics Remains Sound

AI Drafting Tools Need Human Oversight to Ensure Physics Remains Sound

April 8, 2026
Fermionic Systems’ Efficient Calculations Now Possible with New Equations

Fermionic Systems’ Efficient Calculations Now Possible with New Equations

April 8, 2026
Fewer Measurements Unlock More Precise Quantum Sensing Techniques

Fewer Measurements Unlock More Precise Quantum Sensing Techniques

April 8, 2026