Conference Schedule

End-to-End Optimization of Single-Shot Quantum Machine Learning for Bayesian Inference -- I will discuss the end-to-end optimization strategy for quantum machine learning introduced in Ref. [1] that directly targets performance under finite measurement resources, where learning objectives are defined directly at the level of task performance. The method is applied on a Bayesian quantum metrology task since it provides a natural testbed with known fundamental limits and scaling with system size. The sampling-aware hybrid algorithm achieves a single-shot risk within 1 dB of the -20 dB Bayesian limit using 32 qubits. I will then discuss the extension of the Bayesian framework from parameter estimation to global function inference, where the task is to infer a target function of the sensor input drawn from an arbitrary prior, and we demonstrate a clear computational-sensing advantage for direct functional inference over indirect reconstruction. We relate the corresponding Bayesian risk to the Capacity metric and argue that the Resolvable Expressive Capacity [2] provides a natural measure of the space of functions accessible in a single shot. The resulting eigentask analysis [2] identifies noise-robust feature combinations that yield compact estimators with improved accuracy and reduced optimization cost in resource-limited or real-time on-device settings. [1] T. Ilias et al., arxiv:2512.20492 [2] F. Hu et al., Phys. Rev. X 13, 041020 (2023).

• Invited Talk

Experimental realizations of discrete and continuous time crystals in a strongly coupled atom-cavity system -- I will begin with introducing the normal and the self-organization phases of the atom-cavity system and the spontaneous Z2 symmetry breaking associated with the latter. Then I will point out the basic signatures confirming the realization of discrete and continuous time crystals, including the respective spontaneous discrete and continuous time translation symmetry breaking and robustness attributes. I will briefly discuss injection locking as a means to tune a continuous time crystal into a discrete time crystal and close with the observation that the transition from the dynamical discrete time crystal phase towards the static self-organization phase shows Kibble-Zurek scaling.

• Invited Talk

Realisation and control of discrete time crystals in an atom-cavity system -- Driving a many-body system out of equilibrium can lead to fascinating phenomena, such as realising dynamical phases of matter. Time crystals are an example of such an intriguing dynamical phase of matter. In this talk, I will present our results on the realisation and dynamical control of discrete time crystals using an atom-cavity system. Specifically, I will discuss our experimental observations and theoretical exploration of the nature of these states. I will also outline our proposal and ongoing experimental investigation focused on the dynamical control of discrete time crystals, highlighting their potential to encode classical and, potentially, quantum information.

• Invited Talk

Speaker: Weijie Xiong, Amalina Lai

• Oral Session

Pauli and Majorana Propagation methods for classically simulating quantum circuits -- Simulating quantum circuits classically is in general a hard task. However, certain families of quantum circuits may be practically or even provably efficiently simulable by use of specialized classical algorithms. In this talk, we will cover ”Pauli propagation” which has recently been shown to enable efficient classical simulation of expectation values in quantum circuits and a wide range of noise-free quantum circuits. Appreciating the strengths and weaknesses of this simulation method, and how it can be efficiently combined with other classical and quantum subroutines, will help point towards promising applications of quantum devices. We will end by discussing a generalization of this approach to Fermionic systems opening up new applications in quantum chemistry and material science. This talk will give an overview of the following works: arXiv:2308.09109, arXiv:2408.12739, arXiv:2409.01706, arXiv:2411.19896, arXiv:2501.13101, arXiv:2503.18939.

• Invited Talk

Development of a neutral atom quantum computer in IMS -- Neutral atoms are a promising platform for scalable quantum computing. Here, we report the current progress toward the development of a new neutral-atom-based quantum computer at IMS. Single atoms are trapped and deterministically rearranged in a two-dimensional optical tweezer array. Global single-qubit gates are implemented using microwave fields, while site-selective single-qubit control is achieved via AC Stark shifts. Two-qubit gates are realized by coherently coupling atoms to highly excited Rydberg states. With the individual addressing approach, it enables fast and flexible qubit operations across a two-dimensional qubit array.

• Invited Talk

Speaker: Ricard Puig, Suwannachad Suwannajitt

• Oral Session

Quantum Simulation and Sensing with Rydberg Atoms at Chiang Mai University -- Rydberg atoms provide a versatile platform for exploring both quantum many-body physics and quantum sensing due to their strong long-range interactions and extreme sensitivity to external electromagnetic fields. In this talk, I will present recent activities at Chiang Mai University on the development of Rydberg-atom-based systems for quantum simulation and field sensing. Our work focuses on the implementation of neutral-atom platforms using laser-cooled rubidium atoms and Rydberg electromagnetically induced transparency (EIT) techniques. The talk will also outline ongoing efforts to establish quantum technology research infrastructure at Quantum Simulation Research Laboratory, Chiang Mai University.

• QTRic

Speaker: Toonyawat Angkhanawin

• Oral Session

Randomised quantum algorithms at scale: from quantum simulations to machine learning -- Randomness is a powerful resource for designing and implementing practical quantum algorithms for both physics-oriented simulations and data-driven tasks. In this talk, I present recent work that exploits randomized constructions in two complementary settings. First, I introduce sample- and operator-based subspace expansion methods for quantum simulations in chemistry and lattice models, together with a stochastic quantum approach to computing linear response functions. Second, I describe implementations of quantum extreme learning machines with over 100 qubits on superconducting processors, where complex but fixed quantum dynamics serve as computational substrates for learning. Together, these results outline a viable path toward scalable quantum computation beyond small proof-of-principle demonstrations.

• Invited Talk

Quantum Error mitigation for measure and feedforward operations -- Recent advances in quantum computing have enabled mid-circuit measurements and feedforward, allowing real-time adjustments to quantum circuits based on earlier measurement outcomes. This capability is essential for a wide range of applications, such as measurement-based quantum computing, quantum control, teleportation, circuit stitching and knitting, resource injection, quantum metropolis sampling, amongst many others. As powerful as this technology is, it has an Achilles' heel: in practice quantum devices often suffer from significant levels of readout noise, wherein measurement outcomes are inaccurately identified and reported. These mid-circuit readout errors not only corrupt measurement data, but also lead to the execution of incorrect operations later in the computation. This significantly corrupts outcomes. Here we discuss a general purpose error mitigation method capable of handling these errors and recovering correct outcomes. Our protocol accommodates multiple layers of measurement and feedforward operations, is moderately efficient and necessitates minimal changes to the circuit, and reduces noise by up to 60% in small hardware experiments.

• Invited Talk

The quantum communication power of indefinite causal order -- Quantum theory is in principle compatible with scenarios where physical processes occur in an indefinite order, potentially yielding advantages in a broad range of information processing tasks. However, advantages in communication, the most basic form of information processing, have so far remained controversial and hard to prove. Here we provide a framework for assessing the role of causal order in communication, by comparing different causal structures under the constraint that the allowed operations must not generate signaling from signaling-incapable devices. Using this framework, we establish a clear-cut advantage of indefinite causal order, and, at the same time, we identify a series of fundamental limits to the communication power of causal structures in quantum mechanics. Notably, we find that a special form of indefinite causal order, obtained by coherently controlling the order of two processes, enhances the transmission of classical messages in a one-shot scenario, but no quantum operation with indefinite order can offer advantages over shared entanglement when asymptotically many uses of the same communication device are employed. Overall, our results unveil non-trivial relations between communication, causal order, entanglement, and no-signaling quantum processes.

• Invited Talk

Speaker: Marek Gluza, Bi Hong Tiang

• Oral Session

Construction of the full logical Clifford group for high-rate quantum Reed-Muller codes using only transversal and fold-transversal gates -- High-rate quantum error-correcting codes could be useful for minimizing resource requirements for building large-scale quantum computers. However, realizing a logical gate that addresses each logical qubit in the code block in a fault-tolerant manner may require ancilla qubits. In this work, we study a family of self-dual quantum Reed-Muller codes in which the number of logical qubits k grows near-linearly in the block length n up to a 1/sqrt(log(n)) factor. We prove that for any code in this family, the full logical Clifford group can be generated using only transversal and fold-transversal gates, thus enabling the implementation of any addressable Clifford gate without requiring ancilla qubits. Reference: https://arxiv.org/abs/2602.09788

• Invited Talk

Quantum Optimal Control of High-Fidelity Single-Qutrit Gates in Transmon Systems. -- We study the implementation of high-fidelity single-qutrit gates in superconducting transmon systems using an analytic quantum optimal control approach. Instead of relying purely on numerical pulse search, we derive analytical expressions for the amplitudes of the microwave control fields acting on the lowest three levels of the transmon. Our method incorporates the derivative removal by adiabatic gate (DRAG) technique with higher-order corrections, including second- and third-order approximations to suppress leakage. We show that driving the system in the |0⟩ ↔ |1⟩ frame generates an additional phase on the spectator state |2⟩, whereas working in the |1⟩ ↔ |2⟩ frame induces a corresponding phase on |0⟩, and these phases can be calculated explicitly within our framework. The obtained results provide an efficient and experimentally relevant route for precise pulse engineering and high-fidelity single-qutrit control in transmon platforms.

• Invited Talk

Speaker: Andrew Tanggara, Dominik Leichtle

• Oral Session

Speaker: Nikita Guseynov, Rafael Nepomechie

• Oral Session

• Poster Session