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20212026
most citedAdaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures

1 citations · 1 across the 15 of their papers we have counts for

collaborators

16 papers

quant-ph2026

Lifted surgery for non-Abelian two-block group-algebra codes

Tushar Pandey

Code surgery measures a logical operator of a quantum LDPC code with rounds of syndrome extraction. Lifted surgery amortises this cost on Abelian group-algebra codes by meas…

math.NT2026

An intermediate conjecture between Goldbach and Dubner: every even number is the sum of a prime and a twin prime

Tushar Pandey

We study the statement that every even number is the sum of a prime and a member of a twin prime pair. It sits between the conjectures of Goldbach and Dubner and implies…

quant-ph2026

When Classical Baselines Are Tuned as Carefully as the Quantum Model, Does Quantum Reservoir Computing Still Win?

Tushar Pandey

Can a small quantum computer forecast a changing signal better than an ordinary classical method? Many studies say yes, but the classical methods they compare against are often lef…

quant-ph2026

A Quantum Reservoir Architecture for Chaotic Forecasting and a Test of Whether Its High Dimension Helps

Tushar Pandey

Quantum reservoir computing uses a fixed quantum circuit as a feature generator and trains only a simple linear readout on top of it. This makes it cheap to train and free of the o…

quant-ph2026

Quantum Kernels for Parity-Structured Classification: A Hybrid Pipeline

Tushar Pandey

Parity (XOR) classification requires detecting discrete, high-order feature interactions that smooth classical kernels cannot efficiently capture. We study how quantum kernel advan…

quant-ph2026

Fair Decoder Baselines and Rigorous Finite-Size Scaling for Bivariate Bicycle Codes on the Quantum Erasure Channel

Tushar Pandey

Fair threshold estimation for bivariate bicycle (BB) codes on the quantum erasure channel runs into two recurring problems: decoder-baseline unfairness and the conflation of finite…

quant-ph2026

An architectural capacity ceiling, not a barren plateau: why a fixed-encoding variational quantum circuit cannot fit the Lorenz-63 attractor

Tushar Pandey

Variational quantum circuits train poorly on chaotic forecasting, usually blamed on barren plateaus (exponentially vanishing gradients). Using an exactly simulable four-qubit varia…

cs.AI2025★ 1 cited

Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures

Tushar Pandey, Ara Ghukasyan, Oktay Goktas +1

Large Language Models (LLMs) have demonstrated impressive reasoning capabilities, yet their performance is highly dependent on the prompting strategy and model scale. While reinfor…

quant-ph2024

Efficient variational quantum eigensolver methodologies on quantum processors

Tushar Pandey, Jason Saroni, Abdullah Kazi +1

We compare the performance of different methodologies for finding the ground state of the molecule BeH2. We implement adaptive, tetris-adaptive variational quantum eigensolver (VQE…

math.GT2024

Generalized Bonahon-Wong-Yang volume conjecture of quantum invariants of surface diffeomorphisms I: the figure eight knot complement

Tushar Pandey, Ka Ho Wong

We propose a generalization of the Bonahon-Wong-Yang volume conjecture of quantum invariants of surface diffeomorphisms, by relating the asymptotics of the invariants with certain…

math.GT2023

The Bonahon-Wong-Yang volume conjecture for the four-puncture sphere

Tushar Pandey

We compute the Bonahon-Wong-Yang quantum invariant for self-diffeomorphisms of the four-puncture sphere explicitly, based on the representation theory of the Checkov-Fock algebra.…

math.GT2023

Geometry of fundamental shadow link complements and applications to the 1-loop conjecture

Tushar Pandey, Ka Ho Wong

We construct a geometric ideal triangulation for every fundamental shadow link complement and solve the gluing equation explicitly in terms of the logarithmic holonomies of the mer…

cs.LG2023

Topological Understanding of Neural Networks, a survey

Tushar Pandey

We look at the internal structure of neural networks which is usually treated as a black box. The easiest and the most comprehensible thing to do is to look at a binary classificat…

quant-ph2022

Topological Characterization with a Twist, Condensation, and Reflection

Tushar Pandey, Eugene Dumitrescu

Despite its putative robustness, the realization of and control over topological quantum matter is an ongoing grand challenge. Looking forward, robust characterization protocols ar…

math-ph2022

Topological phases of matter, Quantum Error Correction and Topological twist

Tushar Pandey

Unitary Modular Tensor Categories(UMTC) have a one-to-one correspondence with Topological Quantum Field Theories (TQFT). Different identifications have been made so far associating…

math.GT2021

On the asymptotic expansion for the relative Reshetikhin-Turaev invariants of fundamental shadow link pairs

Tushar Pandey, Ka Ho Wong

We study the asymptotic expansion conjecture of the relative Reshetikhin-Turaev invariants proposed in \cite{WY4} for all pairs satisfying the property that …