Home page
Quantum computer is useless
Quantum computer cannot calculate molecules or proteins
Quantum phase estimation is useless
(Fig.1) The recent overhyped research "Hybrid quantum computing for drug discovery" is fake, using only 2 useless qubits (= one qubit can take only 0 or 1 values ) and impractical quantum mechanics that cannot predict any molecules nor drugs.

Quantum mechanics with unreal parallel worlds cannot solve its Schrödinger equations nor predict any multi-electron atomic energies ( this or this-p.21 ), much less predict technologies.
For the unsolvable Schrodinger equations, physicists have to artificially choose fake trial wavefunctions (= basis sets ) expressed as unphysical antisymmetric wavefunctions and integrate them (= instead of solving them ) with the unsolvable Schrodinger energy equation (= Hamiltonian H = total energy ) to get the fake average total energy in quantum mechanical approximate variational methods ( this or this-p.1~p.20 ).
This quantum mechanical approximate variational methods such as Hartree-Fock and impractical configuration interaction (= CI ) are too time-consuming, impractical, cannot predict anything ( this or this-p.10-lower, this or this-p.6-2.2~p.7 ).
Because they have to try infinite possible (fake) trial wavefunctions with infinite terms and infinite free parameters ( this or this-4~5th-paragraphs ) to find ones giving the lowest total energy in this impractical quantum variational methods that take infinite time ( this or this-p.6-4.4.1 ).
↑ This quantum mechanical variational methods are said to give only upper bound energy, cannot predict exact atomic lowest ground-state energies themselves (= actually this variational method is wrong, can give wrong energies lower than the true atomic lowest energies ).
This or this-p.4-1st-paragraph says -- No quantum mechanical prediction
"So we do not have any way of knowing how good or how bad our trial wave function is. The variational method also does Not tell us what kind of a trial function we must choose ( this or this-(9.80), this or this-p.3-lower )"
This or this-p.2~p.3 say -- Useless variational methods
"we cannot solve the problem exactly (= Schrodinger equations are unsolvable )"
"The variational principle... Problem: you do NOT know how close your result is compared to the exact result ( this-p.7-5-caveat )"
No matter what trial wavefunctions are chosen, they can never be true solutions of the unsolvable multi-electron Schrödinger equations, which fact disproves quantum mechanics.
Overhyped quantum computers are impractical forever, cannot get right answers or factor even 21 due to a lot of errors which cannot be corrected.
So to seemingly calculate atomic energy, physicists must rely on deceptive hybrid methods such as variational quantum eigensolver (= VQE ) where classical computers must perform all energy calculations instead of the useless error-prone quantum computers ( this or this-middle-The VQE algorithm: ).
This hybrid quantum variational eigensolver (= VQE ) is based on the impractical quantum variational methods that just choose fake trial wavefunctions called ansatz ( this or this-Implementation, this or this-Key concepts in VQE-#ansatz ).
↑ Dependence on what trial wavefunctions (= ansatz ) are chosen for unsolvable Schrodinger equations means hybrid quantum methods = VQE also cannot predict any multi-electron atomic energies ( this-p.1-abstract ).
From these artificially-chosen trial wavefunctions (= ansatz ) with free parameters, classical computers adjust the free parameters to find the lowest ground-state energy within the chosen trial wavefunctions in this VQE.
↑ So today's error-prone quantum computers are completely useless, can do nothing even in this deceptive hybrid quantum-classical methods.
This or this or this-VQE choosing trial wavefunctions or ansatz ↓
3rd-paragraph says -- VQE chooses ansatz
"VQE works by preparing a trial quantum state using a parametrized quantum circuit (an ansatz ), measuring the expectation value of the Hamiltonian, and then using a classical optimizer to iteratively adjust the circuit parameters until the energy is minimized."
lower-What is the the role of the ansatz in VQE? says
"The choice of ansatz (= trial wavefunctions, this-p.1-right-2nd-paragraph ) is critical to VQE's performance. It determines which quantum states the algorithm can explore"
↑ Quantum mechanics and (impractical) hybrid quantum VQE (= heavily relying on classical computers ) depend on choice of (fake) trial wavefunctions (= ansatz ), which cannot predict anything nor new drugs ( this or this-lower-Key takeaways, this-p.4-2nd-last-paragraph ).
VQE prepares the fictitious simplified Hamiltonian (= total ) energy H expressed by small numbers of quantum bits or qubits, which is called mapping. ← This fake simplified atomic energy equation often uses only two qubits 01 = one qubit takes only 0 or 1 values = still Not a quantum computer, which cannot calculate atomic energy nor drug discovery contrary to hypes ( this or this-lower-Implications and limitations, this or this-p.15-1. ).
↑ And this fake simplified quantum computer version's Hamiltonian H (= total ) energy's coefficient parameters h (= integral of chosen trial wavefunctions by incorrect Hartree-Fock methods ) must be computed by a classical computer ( this-p.6-lower~p.7, this or this-p.4-(2), this or this-p.13-(88) ) Not by the useless quantum computers.
↑ Then, they flip (= measure ) the qubits (= only a few qubits, Not a quantum computer ) based on energy parameters (= θ ) adjusted or optimized by classical computers in this VQE.
Classical computers have to calculate and find the lowest atomic energy in the original Hamiltonian energy equation by adjusting parameters of the chosen trial wavefunctions in this VQE, so quantum computers are unnecessary.
This or this-p.2-left-4th-paragraph says -- Quantum computer unneeded
"an ansatz (= chosen trial wavefunction ) with several
tunable parameters is constructed, and a quantum circuit capable
of producing this ansatz is designed. The ansatz parameters are
variationally adjusted until they minimize the expectation value
of the molecular Hamiltonian. Classical hardware is used to
precompute all the Hamiltonian terms and to update the parameters during the circuit optimization. The quantum hardware is
only used to prepare a state (defined by its current set of ansatz
parameter values) and to perform measurements of the various
interaction terms in the (simplified fake) molecular Hamiltonian"
↑ So the impractical error-prone quantum computers are unnecessary and used only to measure qubits (= expressing the simplified fake version of atomic energy equation ) controlled by classical computers that must calculate and find the lowest atomic energy by adjusting parameters of the artificially-chosen trial wavefunctions in the quantum variational methods that cannot predict anything.
This or this-site on hopeless quantum computers (2026) ↓
3rd-paragraph says -- Useless quantum computer
"even the most popular quantum algorithms face serious obstacles when trying to compute the lowest energy state of molecules"
9th-paragraph says -- Classical computer needed
"VQE works through a hybrid approach where a quantum computer prepares a candidate quantum state for the molecule, while a classical computer adjusts parameters step by step to minimize the calculated energy. The idea is to gradually approach the molecule's true ground state."
11th-paragraph says -- Impractical VQE
"For instance, when the researchers examined the chromium dimer molecule (Cr₂), they found that just one iteration of the VQE calculation could take about 25 days. When the many required optimization steps are included, the total runtime could stretch to around 24 years ( this-p.3-left-1st-paragraph )."
Overhyped AI, machine-learning are used only to help classical computers find parameters based on the previously-obtained data for the artificially-chosen trial wavefunctions which cannot predict anything.
This or this news on fake quantum computers for drug discovery ↓
11th-paragraph says -- Simulate drug interaction ?
"the anticancer drug sotorasib, a KRAS inhibitor targeting a specific KRAS gene mutation, G12C. Prior research has implicated the KRAS gene mutation in many cancers and has shown itself to be notoriously difficult to treat. Effective inhibition of this mutation could lead to significant advancements in the treatment of various aggressive cancers. In the study, the team used a hybrid computing method, starting with a quantum emulator before moving to a quantum computer, to simulate the drug’s interaction with its target."
3rd-last-paragraph says -- Impractical quantum computer
"Despite its promising report, using quantum computers for current drug discovery faces significant limitations. For example, quantum computing is still plagued by longer computational times and errors, which impede its accuracy and efficiency in drug discovery"
↑ This or this fake quantum computer drug discovery research ↓
p.3-3rd-last-paragraph says
"In this work, we study the prodrug design for β-lapachone, a natural product with extensive anticancer activity"
p.3-2nd-last-paragaph says Only 2 orbits (= 2 electrons ) calculated
"In
this work, we employed the active space approximation,,, which simplifies the
QM region into a more manageable two electron/two orbital system (= only chosen 2 electrons' orbitals inside some molecule were calculated by quantum mechanics as active space ).... the results by quantum computers are expected to be
consistent with the CASCI energy (= approximate CI )...."
p.3-2nd-last-paragaph says -- Using only 2 useless qubits
"..The wave function of the active space (= only these artificially selected active space orbits are calculated for rough approximation, Not quantum mechanical prediction, this or this-3rd-paragraph, this-p.2-last-paragraph~p.3 ) can then be represented by a 2-qubit superconducting quantum device... quantum
circuit for VQE" ← Only 2 orbits of the molecules are selected as active space (= targets for calculations, so Not quantum mechanical prediction, this or this-p.16,p.33 ) for 2 qubits (= taking only 01 values )
p.6-1st-paragraph says -- Only 2 qubits, Not quantum computer
"the active
space wavefunction is processed using 2 qubits." ← Only 2 orbits within the prodrug molecule were selected for the useless quantum computer's just 2 qubits (= one qubit takes only 0 or 1 value, so still Not a quantum computer, ) as the active space (= selected as targets for calculation, this-p.2 ), so this research did Not compute all the atomic orbitals related to the drug molecule at all, contrary to hypes.
p.9-Methods say -- Classical computer optimizes parameters
"The VQE algorithm uses a parameterized quantum circuit (PQC).. to construct a quantum state that
approximates the ground state of the system. The parameters of the quantum circuit θ are optimized to its optimal
value θ*
using a classical ( computer ) optimization algorithm,.. According to the Rayleigh-Ritz variational principle,"
p.10-4th-paragraph says -- No quantum mechanical prediction
" Te frozen core provides an effective repulsion potential" ← Most atomic orbitals were approximately or inaccurately treated as effective (pseudo-)potential energy without quantum mechanical prediction ( this or this-p.1 ).
This-p.1-abstract says -- Choose orbits, Not prediction
"One of the key challenges of quantum-chemical multi-configuration methods
is the necessity to manually select orbitals for the active space. This selection
requires both expertise and experience and can therefore impose severe limitations on the applicability of this most general class of ab initio methods. A poor
choice of the active orbital space may yield even qualitatively wrong results."
↑ So the calculation results are changed depending on which orbitals are chosen as active space (= other orbits in non-active space were roughly and incorrectly calculated ), which is Not quantum mechanical prediction ( this-p.2-5th-paragraph, this or this-p.16,p.33 ).
As a result, both quantum mechanics and quantum computers are useless and unable to predict any atomic energies, much less discover drugs.
Drug discovery by quantum mechanics and (impractical) quantum computing is hopeless, because it mainly relies on useless variational quantum eigensolver (= VQE, this-1st~4th-paragraphs-Pfizer, this-p.1-Roche ).
This or this-overhyped Chinese drug development also relies on impractical VQE artificially choosing fake trial wavefunctions (= ansatz ) and active space ( this-p.3-2nd-paragraph ), which cannot predict anything.
This or this overhyped news on AI design of quantum molecules (2026) ↓
2nd-paragraph says -- Useless quantum mechanics
"The ground state problem, central to quantum chemistry, involves finding the lowest energy state of a molecule, a computationally demanding task that scales exponentially with system size using classical computers. VQE algorithms represent a leading approach for tackling this problem.."
" but their performance is heavily reliant on the design of the quantum circuit, or ansatz (= artificially-chosen fake trial wavefunctions for unsolvable Schrodinger equation that cannot predict anything ), used to approximate the molecular wavefunction"
2nd-paragraph says -- Overhyped AI
"Hive, an AI platform, autonomously discovered these algorithms,... bypassing the need for expert intuition in quantum circuit design."
4th-paragraph says -- Still useless small molecules
"The AI platform successfully tackled the ground state problem for H2O and F2 molecules,... Water and fluorine, while still relatively small,"
↑ Quantum mechanics cannot solve its Schrodinger equations nor predict any multi-electron atomic energies.
So physicists have to artificially choose fake trial wavefunctions (= basis sets ) for unsolvable Schrodinger equations out of infinite candidates to find ones giving the lowest energy ( this or this-1st~5th-paragraphs ) in the impractical quantum approximate variational methods that cannot predict anything ( this or this-p.4-1st-paragraph ).
In the deceptive quantum calculation of molecular energy such as variational quantum eigensolver (= VQE ), classical computers have to calculate all atomic energies from the artificially-chosen trial wavefunctions (= called ansatz ) by adjusting free parameters.
Today's useless error-prone quantum computers cannot calculate anything except for flipping their small numbers of qubits based on parameters updated by classical computers.
In this research, the overhyped AI was used to update these free parameters by classical computers in the impractical quantum variational methods that cannot predict anything.
↑ This AI and the (useless) quantum computers cannot change the fact that quantum mechanics or its approximate variational methods (= VQE ) cannot solve Schrodinger equations nor predict any multi-electron atomic energies ( this-figure-middle ).
As a result, quantum mechanics, quantum computers, AI are impractical for molecular energy calculation and drug discovery, contrary to hypes.
↑ This research paper on this hyped AI molecule ↓
p.2-last-paragraph says -- Useless AI for VQE
"To this end, we leverage the Hive, an AI platform for program synthesis, and
demonstrate that it can autonomously discover efficient VQE-style algorithms to find
the ground states of molecules such as Lithium Hydride (LiH), Water (H2O), Fluorine (F2)."
p.4-last-paragraph~p.5 says -- Quantum mechanics failed
"However, obtaining this ground state is computationally challenging."
"Approximate methods such as Hartree–Fock, Density Functional Theory (DFT), and Coupled-Cluster rely on approximations that..
may fail in strongly correlated systems"
p.6-last-paragraph says -- AI relies on experimental data
"The Hive (= AI ? ) has the freedom to import and use any package and library required.
Through Quantinuum’s InQuanto, a quantum computational chemistry library,
the system can access molecular information such as the atomic geometry of a given
molecule, basis set,"
p.16-4th-paragraph says -- AI = classical computers
"Hive does not construct quantum circuits.. Instead, it discovers and refines a classical ( computer's ) function (= of VQE )"
↑ As a result, this research used the overhyped AI based on already-known molecular experimental data (= No quantum mechanical prediction ) to help classical computers adjust free parameters of artificially-chosen fake trial wavefunctions (= ansatz ) for unsolvable Schrodinger equation in impractical variational methods (= VQE ) that is too time-consuming to calculate large molecules, cannot predict anything.
This or this on useless-VQE and its other version = Adapt-VQE ↓
1st-paragraph says
"conducting quantum chemistry calculations using the Adaptive Variational Quantum Eigensolver (ADAPT-VQE) algorithm"
2nd-paragraph says
"ADAPT-VQE improves upon the standard VQE algorithm by adaptively selecting gates for optimization"
4th-paragraph says -- Impractical quantum variational method
"Quantum Circuit Ansatz: ADAPT-VQE starts with the construction of a quantum circuit ansatz. This ansatz (= chosen trial wavefunction ) represents a parameterized quantum circuit that prepares an approximate wavefunction for the quantum system. The circuit typically consists of a sequence of quantum gates, and the parameters of these gates are adjusted during the optimization process to minimize the energy of the system."
5th-paragraph says -- Classical computers optimize energy
"Variational Optimization: The algorithm employs a classical optimizer, such as the gradient descent or the Conjugate Gradient method, to adjust the parameters of the quantum circuit ansatz. The goal is to find the set of parameters that minimizes the expectation value of the system’s Hamiltonian (= total energy )"
6th-paragraph says -- Quantum computer unneeded
"Energy Calculation: At each optimization step, the quantum circuit is executed on a quantum computer to measure the expectation value of the Hamiltonian (= useless quantum computers can only measure qubits representing the simplified fake Hamiltonian atomic energy equation )"
7th-paragraph says -- Adjust variational parameters
"Adaptive Step: ADAPT-VQE is “adaptive” because it dynamically selects which gates in the quantum circuit to optimize at each step. It identifies which gates have the most significant impact on the energy and focuses optimization efforts on those gates, effectively “adapting” the circuit to improve accuracy efficiently. In this context, the ansatz grows as follows: The operator with the most significant gradient is identified, and it is added to the beginning of the ansatz, accompanied by the introduction of a new variational parameter."
↑ So this Adapt-VQE tries to improve the process of adjusting parameters of chosen trial wavefunctions (= ansatz ), which still cannot predict anything due to the useless quantum variational method.
The recent Quantinuum-NVIDIA-Pfizer's overhyped AI drug molecular research made AI help classical computers adjust parameters for chosen trial wavefunction based on data obtained from the previous Adapt-VQE calculation results, which are still useless, cannot predict anything including drugs due to the quantum mechanical inability to predict anything.
↑ This or this site on this Quantinuum AI ↓
6th-paragraph says -- AI just uses previous data
"The team trained the models using thousands of high-quality circuits previously generated with ADAPT-VQE, allowing the AI to learn patterns in circuit construction that could be applied to new molecular configurations."
4th-last-paragraph says -- Impractical AI drug
"The researchers note several limitations, including the fact that the models were trained separately for each qubit count, meaning they cannot yet generalize across different active-space sizes."
↑ This-Quantinuum research on AI-drug molecule ↓
p.2-last-paragraph says -- VQE cannot predict energy
"The Variational Quantum Eigensolver (VQE).. a hybrid quantum-classical
approach in which a parameterized quantum circuit (the ansatz) prepares a trial wavefunction and a classical optimizer minimizes the expected energy... VQE is subject
to several well-documented and severe limitations. First, in practice its performance
depends critically on the choice of ansatz (= results relying on chosen trial wavefunctions means quantum mechanics cannot predict anything )."
p.3-2nd-paragraph says -- Impractical Adapt-VQE
"ADAPT-VQE procedure also requires global re-optimisation of all accumulated variational parameters at each step, adding an optimiser-dependent cost that increases
with the number of selected operators"
p.3-3rd-paragraph says
"These limitations suggest that ADAPT-VQE, while powerful, is unlikely to serve as
a scalable stand-alone solution for quantum state preparation in chemically and industrially relevant regimes. This work addresses that bottleneck by using generative AI to
learn reusable structure from previously constructed ground-state circuits and transfer
that knowledge to new molecular configuration instances"
↑ So this overhyped AI-machine-learning just tried to use the previously-obtained knowledge or parameters to help classical computer optimizers adjust parameters of the chosen trial wavefunctions (= ansatz ), which is still useless, cannot predict anything nor discover new drugs due to quantum mechanics unable to predict any multi-electron atomic energy and today's AI lacking crucial experimental data.

Feel free to link to this site.